Why raise your own Super AI at home with your own values?
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updated Oct 2, 2026
Standardized Evidential Activation-Steering Core
A model-internal steering motor that synthesizes its own layer-local compasses, applies measured physical intervention, stops deliberately, and observes what the transformer does next.
SYNTHESIZE → INJECT → SHAPE → STOP → OBSERVE
Author: Mustafa Akbaş
Status: Independent research / experimental reference implementation
Current research line: AkbasCore SEASC — September 2026
Reference model: Qwen/Qwen2.5-7B-Instruct
Reference hardware: NVIDIA A100
Model weights modified during steering: No
Fine-tuning required: No
LoRA required: No
External steering vector required: No
AkbasCore is an experimental Reference Core and research methodology, not a claim of a universal production alignment system.
AkbasCore does not begin with a stored steering vector.
It does not load a behavioral adapter.
It does not fine-tune the model.
It does not modify the model weights.
Instead, the current AkbasCore motor uses the transformer's own internal activation geometry to synthesize the directions that will subsequently be used to intervene in that same model.
For the reference Qwen2.5-7B-Instruct configuration:
20 independently synthesized
layer-local compasses
20 × 3,584 dimensions
71,680 directional values
are constructed for the active intervention region.
The motor combines:
This complete mechanism is the current AkbasCore SEASC architecture.
The current motor follows this sequence:
MATCHED SEMANTIC CONTRASTS
↓
KARŞITLIK OCAĞI
Contrast Forge
↓
MODEL-INTERNAL ACTIVATIONS
↓
SENTETİK PUSULA ÜRETİMİ
Synthetic Compass Synthesis
↓
20 KATMAN PUSULASI
20 Layer-Local Compasses
↓
PUSULA DEMETİ
Compass Bundle
20 × 3,584
↓
DRA DOZ ZARFI
↓
DONDURULMUŞ NORM ÖLÇÜMÜ
↓
NORMA BAĞLI PUSULA ENJEKSİYONU
↓
L0 → L19
SEASC ON
↓
KESİM SINIRI
↓
MOTOR OFF
↓
L20 → L27
SESSİZ KUYRUK
↓
İZ TAŞINIMI
↓
KIZILELMA
LIVE X-RAY
The twenty synthetic layer-local directions are:
L00 → A0
L01 → A1
L02 → A2
L03 → A3
...
L18 → A18
L19 → A19
Each direction contains 3,584 real values.
The motor therefore separates six questions:
Karşıtlık Ocağı is the AkbasCore stage that converts matched semantic oppositions into measurable internal activation contrasts.
Reference semantic axes include:
ABOVE ↔ BELOW
BEFORE ↔ AFTER
INSIDE ↔ OUTSIDE
OPEN ↔ CLOSED
CAUSE ↔ EFFECT
Matched positive and negative carrier sentences are passed through the same model.
For every target layer (L), AkbasCore records:
[ h_L^{POS} ]
and:
[ h_L^{NEG} ]
The mean activation of each side is then computed:
\operatorname{mean}(h_L^{POS}) ]
\operatorname{mean}(h_L^{NEG}) ]
Karşıtlık Ocağı does not steer the model.
Its purpose is to expose a measurable semantic contrast inside the model's own activation geometry.
This is one of the central mechanisms of the current AkbasCore motor.
AkbasCore does not require a stored or externally supplied steering vector.
Instead, before active steering begins, the model is used to synthesize its own layer-local intervention directions from matched internal activation contrasts.
For each layer:
\mu_L^{NEG} ]
The synthetic contrast is normalized:
\frac{v_L^{sentetik}} {|v_L^{sentetik}|_2} ]
This operation is performed independently at every active layer:
[ A_0,A_1,A_2,\ldots,A_{19} ]
For Qwen2.5-7B-Instruct:
[ A_L \in \mathbb{R}^{3584} ]
One synthesis cycle therefore produces:
20 independent synthetic vectors
× 3,584 dimensions
= 71,680 directional values
before active steering begins.
The important distinction is:
The intervention directions are synthesized from the model's own layerwise activation geometry. They are not imported from an external steering-vector library.
AkbasCore also does not assume that one semantic direction remains unchanged through transformer depth.
Instead:
Layer 0 gets A0
Layer 1 gets A1
Layer 2 gets A2
...
Layer 19 gets A19
Each active layer receives its own synthetic direction.
Each independently synthesized unit direction is called:
Katman Pusulası — Layer-Local Compass
For layer (L):
[ A_L \in \mathbb{R}^{H} ]
with:
[ |A_L|_2=1 ]
The current motor does not assume:
[ A_0=A_1=\cdots=A_{19} ]
Semantic geometry is allowed to change through transformer depth.
The complete collection:
{A_0,A_1,\ldots,A_{19}} ]
is called:
Pusula Demeti — Compass Bundle
For the reference model:
20 Layer-Local Compasses
×
3,584 dimensions
=
71,680 directional values
The entire Pusula Demeti is synthesized from the model's own activations.
Contrastive activation differences and steering-vector extraction have prior literature.
AkbasCore therefore does not claim that subtracting positive and negative activations, by itself, is a newly invented mathematical operation.
The AkbasCore architecture being investigated is the integrated mechanism:
Layer-local model-internal
compass synthesis
+
Frozen-norm physical dose
+
DRA depth shaping
+
Multi-layer CUDA intervention
+
Explicit motor cutoff
+
Motor-OFF downstream X-Ray
+
Transport measurement
The project distinguishes its architectural mechanisms and experimental methodology from the standard mathematical operations used to implement them.
Pusula Dökümhanesi is the umbrella term for AkbasCore direction-construction mechanisms.
The current direct synthesis path is:
Pusula Dökümhanesi
↓
Karşıtlık Ocağı
↓
Sentetik Pusula Üretimi
↓
Katman Pusulaları
↓
Pusula Demeti
Historical Foundry research also includes:
These remain part of the research lineage but are not required for the current direct KIZILELMA synthesis path.
Once a layer direction has been synthesized, AkbasCore determines how strongly to intervene.
Before injection, the motor measures:
|h_L|_{\mathrm{pre}} ]
AkbasCore calls this:
Dondurulmuş Norm — Frozen Norm
The norm is captured before intervention modifies the hidden state.
The intervention therefore cannot increase the reference norm from which its own requested magnitude is calculated.
AkbasCore defines intervention magnitude relative to the hidden state being modified.
For relative layer dose (\rho_L):
\rho_L |h_L|_{\mathrm{pre}} A_L ]
Physical Dose is:
\frac{|\Delta h_L|2} {|h_L|{\mathrm{pre}}} ]
Because:
[ |A_L|_2=1 ]
the requested relative displacement satisfies:
[ D_L \approx \rho_L ]
up to numerical implementation precision.
A requested 10% intervention therefore means approximately:
a displacement equal to 10% of the pre-intervention hidden-state norm
rather than an arbitrary uncalibrated additive coefficient.
Physical dose is shaped through transformer depth.
AkbasCore retains the critically damped profile developed in the DRA research line:
\mathrm{Zirve} e^{-\mathrm{Sönüm}L} (1+\mathrm{Sönüm}L) + \mathrm{Taban} ]
The profile is normalized:
\frac{kb(L)}{kb(0)} ]
therefore:
[ E(0)=1 ]
and:
\mathrm{İvme},E(L) ]
Current locked constants:
| Turkish term | English gloss | Value |
|---|---|---|
| İvme | Initial Physical Steering Dose | 0.10 |
| Sönüm | Decay Rate | 0.30 |
| Zirve | Envelope Amplitude | 0.70 |
| Taban | Non-Zero Floor | 0.20 |
Reference dose schedule:
L00 : 10.000%
L01 : 9.713%
L02 : 9.052%
L03 : 8.230%
L04 : 7.376%
L05 : 6.561%
L06 : 5.822%
L07 : 5.175%
L08 : 4.621%
L09 : 4.156%
L10 : 3.771%
L11 : 3.456%
L12 : 3.200%
L13 : 2.994%
L14 : 2.829%
L15 : 2.697%
L16 : 2.593%
L17 : 2.511%
L18 : 2.447%
L19 : 2.397%
The locked base envelope has:
RSS(ρ) ≈ 0.250235055
The DRA Zarfı controls depth.
It does not determine semantic direction.
This is the point where the synthetic direction, hidden-state magnitude and physical dose meet.
For each active layer:
h_L + \rho_L |h_L|_{\mathrm{pre}} A_L } ]
The operation combines:
Katman Pusulası
+
Dondurulmuş Norm
+
Fiziksel Doz
+
DRA Zarfı
into one direct hidden-state intervention.
The reference implementation performs this operation through an inline CUDA kernel.
No optimizer is involved.
No gradient update is required.
No model weight is modified.
The current AkbasCore runtime can be summarized as:
SYNTHESIZE DIRECTION
↓
MEASURE HIDDEN-STATE NORM
↓
COMPUTE PHYSICAL DOSE
↓
SHAPE DOSE THROUGH DEPTH
↓
INJECT LAYER-LOCAL PUSULA
↓
REPEAT THROUGH L0-L19
↓
STOP
↓
OBSERVE L20-L27
Or mathematically:
\text{Synthetic Compass Synthesis} + \text{SEASC} + \text{DRA Envelope} + \text{Intervention Cutoff} + \text{Trace Observation} ]
AkbasCore deliberately separates active intervention from downstream observation.
L0 → L19
SEASC ACTIVE
INJECTION ON
----------------
KESİM SINIRI
INTERVENTION CUTOFF
----------------
L20 → L27
SEASC OFF
NO INJECTION
No AkbasCore steering vector is injected into L20-L27.
This is not a reduced-dose region.
It is not another controller stage.
The motor is off.
The post-intervention region:
L20 → L27
is called:
Sessiz Kuyruk — Silent Tail
Inside the Sessiz Kuyruk:
SEASC injection = 0
steering hooks = absent
new Pusula dose = 0
The ordinary transformer continues processing the state.
This creates a clean experimental question:
What does the transformer do with an upstream displacement after the mechanism that created it has stopped?
The L0-L19 intervention creates a measurable difference between the Vanilla and SEASC trajectories.
AkbasCore calls the creation of this downstream-visible difference:
İz Bırakma — Trace Imprinting
This does not mean that the originally injected vector survives unchanged.
It means that active intervention creates a measurable state difference that subsequent transformer computation can process.
After the motor stops:
h_L^{Vanilla} ]
for:
[ L\ge20 ]
can continue changing.
AkbasCore calls this:
İz Taşınımı — Trace Transport
Relative displacement can be measured as:
\frac{ |h_L^{SEASC}-h_L^{Vanilla}|_2 }{ |h_L^{Vanilla}|_2 } ]
The downstream difference may:
Therefore:
[ \text{Injected Vector} \neq \text{Downstream Net Displacement} ]
The ordered sequence:
[ \Delta_{20}, \Delta_{21}, \dots, \Delta_{27} ]
is called:
Taşınım İzi — Transport Trace
It records the measured trajectory of the intervention-created difference through the Sessiz Kuyruk.
Current experiments indicate that these trajectories can be structured, prompt-replicable under controlled conditions, and concept-dependent.
No single universal semantic transport channel has been established.
KIZILELMA makes the motor visible.
It shows:
WHAT CREATED THE CONTRAST
↓
WHAT SYNTHETIC COMPASSES
WERE BUILT
↓
WHAT WAS INJECTED
↓
WHERE THE MOTOR STOPPED
↓
WHAT HAPPENED AFTERWARD
↓
WHETHER THE OUTPUT CHANGED
KIZILELMA records:
The Overview poster exposes:
EXTRACT
↓
BUILD
↓
INJECT
↓
STOP
↓
OBSERVE
It includes:
The Technical poster exposes:
20 × 3584
REAL COMPASS FINGERPRINT
+
MEASURED INJECTION MAGNITUDE
+
28-LAYER
VANILLA → SEASC DISPLACEMENT
+
LOCKED ENVELOPE METADATA
The Overview and Technical records separate public visual understanding from deeper technical inspection.
Generated text alone can hide internal intervention effects.
In a recent reference demonstration:
Vanilla:
The bird is perched on the branch.
SEASC:
The bird is perched on the branch.
The greedy-decoded text remained identical.
The internal trajectories did not.
In that individual run, relative Vanilla→SEASC displacement was already substantial near the end of active steering and continued evolving after the motor stopped, reaching approximately the mid-40% range at L27.
This single run does not establish that every intervention behaves this way.
It demonstrates a methodological point:
No text change does not imply no internal intervention effect.
The reverse is equally important:
A large hidden-state displacement does not automatically imply behavioral success.
KIZILELMA therefore displays both internal measurements and generated output.
This distinction became particularly clear in TEST 142.
For every layer:
h_L^{Vanilla} ]
Representative TEST 142 measurements:
Mean relative displacement ≈ 30.37%
Mean cos(Δ,A) ≈ 0.452
L00 relative displacement ≈ 10%
L19 relative displacement ≈ 36.90%
The important distinction is:
u = intentional injection
Δ = downstream net difference
u ≠ Δ
The intentionally injected vector and the downstream net displacement are different mathematical objects.
Once intervention and observation were separated, a new question became possible:
Can the motor-OFF evolution of an intervention trace be predicted from measured local geometry?
TEST 192-197 investigated this question.
Low-rank mappings were estimated between neighboring downstream displacement states.
Conceptually:
T_L\Delta_L ]
AkbasCore calls this experimental mapping:
Yerel Taşınım İşleci — Local Transport Operator
These operators are:
They are not claimed to be the full transformer Jacobian.
They do not recover complete 3,584-dimensional transformer dynamics.
Local predictions can be recursively composed:
T_{L+1}T_L\Delta_L ]
AkbasCore calls the resulting recursive sequence:
Taşınım Zinciri — Transport Chain
This creates two evaluation regimes:
Teacher-Forced Prediction
versus
Recursive Free-Run Prediction
Recursive prediction is stricter because prediction errors can propagate through the chain.
The controlled low-dimensional support used to estimate transport operators is called:
İnşa Uzayı — BUILD Span
For target displacement (d) and BUILD-support projector (P_B):
\frac{ |P_Bd|_2^2 }{ |d|_2^2 } ]
The BUILD span defines the geometric support available to the low-rank predictor.
Kapsama — Span Coverage
measures how much of a target displacement is represented by available BUILD support.
Kapsama is a geometric measurement.
It is not itself a causal quantity.
TEST 196 found a strong association between increases in BUILD-span coverage and increases in novel-surface prediction quality.
That association motivated TEST 197.
İnşa Kapasitesi — BUILD Capacity
is the controlled amount of support used to construct the İnşa Uzayı.
TEST 197 increased nested BUILD support:
N08
N16
N24
N32
while keeping novel SURFACE evaluation fixed.
| BUILD N | Coverage | Teacher | Free L27 | Free Error |
|---|---|---|---|---|
| 8 | 0.684935 | 0.669637 | 0.664327 | 0.740958 |
| 16 | 0.708929 | 0.692085 | 0.667969 | 0.738735 |
| 24 | 0.722478 | 0.704334 | 0.673609 | 0.733351 |
| 32 | 0.735142 | 0.716287 | 0.678708 | 0.727619 |
Across pooled samples:
Δcoverage → Δprediction
Pearson = +0.869363
Spearman = +0.816145
N = 320
Coverage and teacher-forced prediction improved monotonically as BUILD support increased.
Recursive terminal behavior was more heterogeneous.
Terminal N32−N8 results:
A / ABOVE↔BELOW
+0.018554
CI [+0.011713,+0.026236]
B / BEFORE↔AFTER
-0.014292
CI [-0.029952,+0.000813]
C / INSIDE↔OUTSIDE
+0.005791
CI [-0.006047,+0.016525]
D / OPEN↔CLOSED
+0.010982
CI [+0.001611,+0.022047]
E / CAUSE↔EFFECT
+0.050867
CI [+0.042421,+0.060804]
Recorded decision:
BUILD_SPAN_CAPACITY_SCALING_PARTIALLY_REPLICATED
The supported conclusion is narrower than universal capacity scaling:
Increasing BUILD support consistently increased geometric coverage and teacher-forced prediction quality, while terminal recursive improvement remained semantic-axis dependent.
AkbasCore previously developed a broader compass-construction line.
This remains part of the project lineage.
For matched activation pair (i):
\operatorname{normalize} (h^+{L,i}-h^-{L,i}) ]
The pair directions are aggregated:
\operatorname{normalize} \left( \sum_i d_{L,i} \right) ]
AkbasCore calls this:
Banka Pusulası — Bank-Mean Compass
A reliability-weighted reference direction was constructed using within-class residual geometry and a regularized low-rank inverse action.
Conceptually:
\operatorname{normalize} \left[ (C_L+\lambda_LI)^{-1} (\mu_L^+-\mu_L^-) \right] ]
Subspace-Fisher uses standard mathematical machinery.
AkbasCore does not claim Fisher/LDA geometry, covariance inversion or SVD as project inventions.
Its role in this research line is reference geometry.
The Banka Pusulası can be decomposed relative to the Fisher reference:
\langle F_L,B_L\rangle ]
and:
\operatorname{normalize} (B_L-c_LF_L) ]
AkbasCore calls (R_L):
Artık Yön — Residual Direction
The experimental compass family is:
\operatorname{normalize} \left[ c_LF_L + \beta \sqrt{1-c_L^2}R_L \right] ]
where (\beta) is:
Bileşim Katsayısı — Composition Coefficient
Under the reference orientation:
β = 0 → Fisher reference
β = 1 → Bank-Mean
The AkbasCore 3.2 reference lock used:
β = 1.0
Representative TEST 162 measurements:
| Scale | Fisher | Bank-Mean | Bank − Fisher |
|---|---|---|---|
| 0.25 | 0.090148 | 0.082974 | −0.007174 |
| 0.50 | 0.167929 | 0.235962 | +0.068033 |
| 1.00 | 0.116622 | 0.264574 | +0.147951 |
This did not establish universal Bank-Mean superiority.
It showed a dose-dependent functional difference under the tested conditions.
AkbasCore also investigated whether runtime geometry could be partially retained in parameters.
This is not part of the current inference-time SEASC motor.
Kristalleşme — Crystallization
is the AkbasCore term for experiments attempting to transfer part of a runtime steering trajectory into parameter updates and then evaluate with the runtime motor switched off.
TEST 144 used:
LoRA rank : 8
alpha : 16
targets : q/k/v/o
trainable : ~0.0662%
Final held-out progress was approximately:
+15.79%
under that experiment.
This demonstrated partial retention.
It did not establish complete conversion of runtime steering into weights.
Sequential crystallization exposed parameter-space interference.
Koruma Kalkanı — Retention Guard
is the AkbasCore experimental mechanism for projecting a proposed optimizer displacement away from measured retention-sensitive parameter directions.
For displacement (d) and guard direction (g):
\frac{d\cdot g}{g\cdot g} ]
when the corresponding guard condition is active.
The important research conclusion was:
Activation-space independence does not imply parameter-space independence.
Retention Guard belongs to the parameter-space research line.
It is not part of the current runtime SEASC motor.
| Turkish canonical term | English gloss |
|---|---|
| Karşıtlık Ocağı | Contrast Forge |
| Sentetik Pusula Üretimi | Synthetic Compass Synthesis |
| Pusula | Compass |
| Katman Pusulası | Layer-Local Compass |
| Pusula Demeti | Compass Bundle |
| Pusula Dökümhanesi | Compass Foundry |
| Banka Pusulası | Bank-Mean Compass |
| Artık Yön | Residual Direction |
| Bileşik Pusula | Composite Compass |
| Bileşim Katsayısı | Composition Coefficient |
| Dondurulmuş Norm | Frozen Norm |
| Fiziksel Doz | Physical Dose |
| DRA Zarfı | DRA Envelope |
| İvme | Steering Dose |
| Sönüm | Decay Rate |
| Zirve | Amplitude |
| Taban | Non-Zero Floor |
| Norma Bağlı Pusula Enjeksiyonu | Norm-Anchored Compass Injection |
| Kesim Sınırı | Intervention Cutoff |
| Sessiz Kuyruk | Silent Tail |
| İz Bırakma | Trace Imprinting |
| İz Taşınımı | Trace Transport |
| Taşınım İzi | Transport Trace |
| Yerel Taşınım İşleci | Local Transport Operator |
| Taşınım Zinciri | Transport Chain |
| İnşa Uzayı | BUILD Span |
| Kapsama | Span Coverage |
| İnşa Kapasitesi | BUILD Capacity |
| Kristalleşme | Crystallization |
| Koruma Kalkanı | Retention Guard |
| KIZILELMA | Live Intervention X-Ray |
| DRA | Damped Resonance Alignment |
| SEASC | Standardized Evidential Activation-Steering Core |
These names identify AkbasCore architectural components, measurements and experimental abstractions.
Standard mathematical operations retain their established scientific provenance.
The current KIZILELMA runtime path is:
Karşıtlık Ocağı
↓
Sentetik Pusula Üretimi
↓
20 Katman Pusulası
↓
Pusula Demeti
↓
DRA Zarfı
↓
Dondurulmuş Norm
↓
Fiziksel Doz
↓
Norma Bağlı Pusula Enjeksiyonu
↓
L0 → L19
↓
Kesim Sınırı
↓
Sessiz Kuyruk
L20 → L27
↓
İz Taşınımı
↓
KIZILELMA X-RAY
It does not silently run:
Those belong to research history or experimental measurement branches.
Model : Qwen/Qwen2.5-7B-Instruct
Transformer : 28 decoder layers
Hidden size : 3584
Model dtype : BF16
Compass math : FP32
Steered layers : L0-L19
Silent Tail : L20-L27
Runtime : CUDA
Reference GPU : NVIDIA A100
Decoding : deterministic / greedy
İvme : 0.10
Sönüm : 0.30
Zirve : 0.70
Taban : 0.20
Base RSS : ≈ 0.250235055
DRA
↓
Closed-Loop Activation Steering
↓
Synthetic Concept Experiments
↓
SEASC
↓
Hidden-State X-Ray
↓
Kristalleşme
↓
Cross-Vector Interference
↓
Koruma Kalkanı
↓
Natural / Causal Transport
↓
Semantic Transport
↓
Fisher ↔ Bank Decomposition
↓
Motor-OFF Tail Experiments
↓
İz Taşınımı
↓
Yerel Taşınım İşleçleri
↓
Novel-Surface Transfer
↓
İnşa Uzayı
↓
Kapsama
↓
İnşa Kapasitesi
↓
TEST 197
↓
KIZILELMA LIVE X-RAY
Negative and falsifying results remain part of the record.
Mechanisms are not retained merely because they once existed.
The current implementation constructs twenty independent 3,584-dimensional Pusulas from matched internal activation contrasts.
SEASC expresses requested displacement relative to the pre-intervention hidden-state norm.
Pusula determines direction.
SEASC determines physical intervention magnitude.
DRA determines the depth profile.
Later transformer computation can rotate and alter an upstream perturbation.
L20-L27 can be observed without new SEASC injection.
Controlled experiments found prompt- and concept-dependent downstream trajectories.
BUILD-span operators predict part of the downstream trace.
Prediction is not entirely confined to exact BUILD wording.
TEST 196-197 measured a strong relationship under the tested setup.
This association is not treated as causal proof.
TEST 197 was deliberately recorded as partially replicated.
A substantial hidden-state displacement can coexist with an unchanged greedy output.
AkbasCore does not currently establish:
The strongest current evidence is concentrated on controlled experiments with Qwen2.5-7B-Instruct.
Broader replication remains open.
AkbasCore follows one central experimental rule:
Measure the mechanism separately from the generated text.
The research therefore distinguishes:
synthetic compass
requested dose
realized dose
injected displacement
downstream displacement
transport trace
transport prediction
span coverage
behavioral output
collateral change
weight change
These quantities are not treated as interchangeable.
A convincing generated answer is not sufficient evidence.
A large hidden-state displacement is not sufficient evidence of behavioral success.
A correlation is not automatically treated as causation.
A low-rank predictor is not automatically called the full system dynamics.
Negative and falsifying results are preserved.
AkbasCore is currently centered on a deliberately measurable motor:
MODEL SYNTHESIZES
LAYER-LOCAL COMPASSES
↓
SEASC MEASURES
PHYSICAL INTERVENTION
↓
DRA SHAPES
INTERVENTION THROUGH DEPTH
↓
CUDA APPLIES
THE INTERVENTION
↓
THE MOTOR STOPS
↓
THE TRANSFORMER CONTINUES
↓
KIZILELMA OBSERVES
WHAT HAPPENS NEXT
The immediate research direction is not to add another runtime controller.
Open questions include:
AKBASCORE
PUSULA DÖKÜMHANESİ
- Karşıtlık Ocağı
- Sentetik Pusula Üretimi
- Katman Pusulası
- Pusula Demeti
- Banka Pusulası [research]
- Subspace-Fisher [reference]
- Artık Yön [research]
- Bileşik Pusula [research]
SEASC
- Dondurulmuş Norm
- Fiziksel Doz
- Norma Bağlı Pusula Enjeksiyonu
DRA ZARFI
- İvme
- Sönüm
- Zirve
- Taban
MÜDAHALE SINIRI
- Kesim Sınırı
- Sessiz Kuyruk
TAŞINIM ARAŞTIRMASI
- İz Bırakma
- İz Taşınımı
- Taşınım İzi
- Yerel Taşınım İşleci
- Taşınım Zinciri
- İnşa Uzayı
- Kapsama
- İnşa Kapasitesi
PARAMETRE-UZAYI ARAŞTIRMASI
- Kristalleşme
- Koruma Kalkanı
KIZILELMA
- Overview X-Ray
- Technical X-Ray
The model provides the geometry.
The Foundry synthesizes the compasses.
SEASC measures the dose.
DRA shapes the depth.
CUDA applies the intervention.
The motor stops.
KIZILELMA watches the trace.
The weights remain frozen.
For scientific or technical work based materially on AkbasCore, please cite the relevant versioned AkbasCore release and associated archival record rather than treating the continuously updated main branch as a fixed publication.
The repository's timestamped commits, Releases, experiment records and archival deposits preserve the development lineage.
Project: AkbasCore
Developer / Researcher: Mustafa Akbaş
Research lineage: DRA → SEASC → Transport → KIZILELMA
Year: 2026
AkbasCore software is currently distributed under the license terms provided in this repository.
Copyright © 2026 Mustafa Akbaş — AkbasCore
The repository contains software together with experimental methodology, research results, architectural terminology and attribution information.
For the complete and controlling terms, scope, copyright notice and attribution information, read the repository's LICENSE file.
Standard mathematical techniques used within AkbasCore retain their existing scientific provenance.
Mustafa Akbaş · 2026
Direction is synthesized.
Dose is measured.
Depth is shaped.
The motor stops.
The trace remains visible.
Python
99.6%
Why raise your own Super AI at home with your own values?
Python
12
687 commits
updated Oct 2, 2026
Standardized Evidential Activation-Steering Core
A model-internal steering motor that synthesizes its own layer-local compasses, applies measured physical intervention, stops deliberately, and observes what the transformer does next.
SYNTHESIZE → INJECT → SHAPE → STOP → OBSERVE
Author: Mustafa Akbaş
Status: Independent research / experimental reference implementation
Current research line: AkbasCore SEASC — September 2026
Reference model: Qwen/Qwen2.5-7B-Instruct
Reference hardware: NVIDIA A100
Model weights modified during steering: No
Fine-tuning required: No
LoRA required: No
External steering vector required: No
AkbasCore is an experimental Reference Core and research methodology, not a claim of a universal production alignment system.
AkbasCore does not begin with a stored steering vector.
It does not load a behavioral adapter.
It does not fine-tune the model.
It does not modify the model weights.
Instead, the current AkbasCore motor uses the transformer's own internal activation geometry to synthesize the directions that will subsequently be used to intervene in that same model.
For the reference Qwen2.5-7B-Instruct configuration:
20 independently synthesized
layer-local compasses
20 × 3,584 dimensions
71,680 directional values
are constructed for the active intervention region.
The motor combines:
This complete mechanism is the current AkbasCore SEASC architecture.
The current motor follows this sequence:
MATCHED SEMANTIC CONTRASTS
↓
KARŞITLIK OCAĞI
Contrast Forge
↓
MODEL-INTERNAL ACTIVATIONS
↓
SENTETİK PUSULA ÜRETİMİ
Synthetic Compass Synthesis
↓
20 KATMAN PUSULASI
20 Layer-Local Compasses
↓
PUSULA DEMETİ
Compass Bundle
20 × 3,584
↓
DRA DOZ ZARFI
↓
DONDURULMUŞ NORM ÖLÇÜMÜ
↓
NORMA BAĞLI PUSULA ENJEKSİYONU
↓
L0 → L19
SEASC ON
↓
KESİM SINIRI
↓
MOTOR OFF
↓
L20 → L27
SESSİZ KUYRUK
↓
İZ TAŞINIMI
↓
KIZILELMA
LIVE X-RAY
The twenty synthetic layer-local directions are:
L00 → A0
L01 → A1
L02 → A2
L03 → A3
...
L18 → A18
L19 → A19
Each direction contains 3,584 real values.
The motor therefore separates six questions:
Karşıtlık Ocağı is the AkbasCore stage that converts matched semantic oppositions into measurable internal activation contrasts.
Reference semantic axes include:
ABOVE ↔ BELOW
BEFORE ↔ AFTER
INSIDE ↔ OUTSIDE
OPEN ↔ CLOSED
CAUSE ↔ EFFECT
Matched positive and negative carrier sentences are passed through the same model.
For every target layer (L), AkbasCore records:
[ h_L^{POS} ]
and:
[ h_L^{NEG} ]
The mean activation of each side is then computed:
\operatorname{mean}(h_L^{POS}) ]
\operatorname{mean}(h_L^{NEG}) ]
Karşıtlık Ocağı does not steer the model.
Its purpose is to expose a measurable semantic contrast inside the model's own activation geometry.
This is one of the central mechanisms of the current AkbasCore motor.
AkbasCore does not require a stored or externally supplied steering vector.
Instead, before active steering begins, the model is used to synthesize its own layer-local intervention directions from matched internal activation contrasts.
For each layer:
\mu_L^{NEG} ]
The synthetic contrast is normalized:
\frac{v_L^{sentetik}} {|v_L^{sentetik}|_2} ]
This operation is performed independently at every active layer:
[ A_0,A_1,A_2,\ldots,A_{19} ]
For Qwen2.5-7B-Instruct:
[ A_L \in \mathbb{R}^{3584} ]
One synthesis cycle therefore produces:
20 independent synthetic vectors
× 3,584 dimensions
= 71,680 directional values
before active steering begins.
The important distinction is:
The intervention directions are synthesized from the model's own layerwise activation geometry. They are not imported from an external steering-vector library.
AkbasCore also does not assume that one semantic direction remains unchanged through transformer depth.
Instead:
Layer 0 gets A0
Layer 1 gets A1
Layer 2 gets A2
...
Layer 19 gets A19
Each active layer receives its own synthetic direction.
Each independently synthesized unit direction is called:
Katman Pusulası — Layer-Local Compass
For layer (L):
[ A_L \in \mathbb{R}^{H} ]
with:
[ |A_L|_2=1 ]
The current motor does not assume:
[ A_0=A_1=\cdots=A_{19} ]
Semantic geometry is allowed to change through transformer depth.
The complete collection:
{A_0,A_1,\ldots,A_{19}} ]
is called:
Pusula Demeti — Compass Bundle
For the reference model:
20 Layer-Local Compasses
×
3,584 dimensions
=
71,680 directional values
The entire Pusula Demeti is synthesized from the model's own activations.
Contrastive activation differences and steering-vector extraction have prior literature.
AkbasCore therefore does not claim that subtracting positive and negative activations, by itself, is a newly invented mathematical operation.
The AkbasCore architecture being investigated is the integrated mechanism:
Layer-local model-internal
compass synthesis
+
Frozen-norm physical dose
+
DRA depth shaping
+
Multi-layer CUDA intervention
+
Explicit motor cutoff
+
Motor-OFF downstream X-Ray
+
Transport measurement
The project distinguishes its architectural mechanisms and experimental methodology from the standard mathematical operations used to implement them.
Pusula Dökümhanesi is the umbrella term for AkbasCore direction-construction mechanisms.
The current direct synthesis path is:
Pusula Dökümhanesi
↓
Karşıtlık Ocağı
↓
Sentetik Pusula Üretimi
↓
Katman Pusulaları
↓
Pusula Demeti
Historical Foundry research also includes:
These remain part of the research lineage but are not required for the current direct KIZILELMA synthesis path.
Once a layer direction has been synthesized, AkbasCore determines how strongly to intervene.
Before injection, the motor measures:
|h_L|_{\mathrm{pre}} ]
AkbasCore calls this:
Dondurulmuş Norm — Frozen Norm
The norm is captured before intervention modifies the hidden state.
The intervention therefore cannot increase the reference norm from which its own requested magnitude is calculated.
AkbasCore defines intervention magnitude relative to the hidden state being modified.
For relative layer dose (\rho_L):
\rho_L |h_L|_{\mathrm{pre}} A_L ]
Physical Dose is:
\frac{|\Delta h_L|2} {|h_L|{\mathrm{pre}}} ]
Because:
[ |A_L|_2=1 ]
the requested relative displacement satisfies:
[ D_L \approx \rho_L ]
up to numerical implementation precision.
A requested 10% intervention therefore means approximately:
a displacement equal to 10% of the pre-intervention hidden-state norm
rather than an arbitrary uncalibrated additive coefficient.
Physical dose is shaped through transformer depth.
AkbasCore retains the critically damped profile developed in the DRA research line:
\mathrm{Zirve} e^{-\mathrm{Sönüm}L} (1+\mathrm{Sönüm}L) + \mathrm{Taban} ]
The profile is normalized:
\frac{kb(L)}{kb(0)} ]
therefore:
[ E(0)=1 ]
and:
\mathrm{İvme},E(L) ]
Current locked constants:
| Turkish term | English gloss | Value |
|---|---|---|
| İvme | Initial Physical Steering Dose | 0.10 |
| Sönüm | Decay Rate | 0.30 |
| Zirve | Envelope Amplitude | 0.70 |
| Taban | Non-Zero Floor | 0.20 |
Reference dose schedule:
L00 : 10.000%
L01 : 9.713%
L02 : 9.052%
L03 : 8.230%
L04 : 7.376%
L05 : 6.561%
L06 : 5.822%
L07 : 5.175%
L08 : 4.621%
L09 : 4.156%
L10 : 3.771%
L11 : 3.456%
L12 : 3.200%
L13 : 2.994%
L14 : 2.829%
L15 : 2.697%
L16 : 2.593%
L17 : 2.511%
L18 : 2.447%
L19 : 2.397%
The locked base envelope has:
RSS(ρ) ≈ 0.250235055
The DRA Zarfı controls depth.
It does not determine semantic direction.
This is the point where the synthetic direction, hidden-state magnitude and physical dose meet.
For each active layer:
h_L + \rho_L |h_L|_{\mathrm{pre}} A_L } ]
The operation combines:
Katman Pusulası
+
Dondurulmuş Norm
+
Fiziksel Doz
+
DRA Zarfı
into one direct hidden-state intervention.
The reference implementation performs this operation through an inline CUDA kernel.
No optimizer is involved.
No gradient update is required.
No model weight is modified.
The current AkbasCore runtime can be summarized as:
SYNTHESIZE DIRECTION
↓
MEASURE HIDDEN-STATE NORM
↓
COMPUTE PHYSICAL DOSE
↓
SHAPE DOSE THROUGH DEPTH
↓
INJECT LAYER-LOCAL PUSULA
↓
REPEAT THROUGH L0-L19
↓
STOP
↓
OBSERVE L20-L27
Or mathematically:
\text{Synthetic Compass Synthesis} + \text{SEASC} + \text{DRA Envelope} + \text{Intervention Cutoff} + \text{Trace Observation} ]
AkbasCore deliberately separates active intervention from downstream observation.
L0 → L19
SEASC ACTIVE
INJECTION ON
----------------
KESİM SINIRI
INTERVENTION CUTOFF
----------------
L20 → L27
SEASC OFF
NO INJECTION
No AkbasCore steering vector is injected into L20-L27.
This is not a reduced-dose region.
It is not another controller stage.
The motor is off.
The post-intervention region:
L20 → L27
is called:
Sessiz Kuyruk — Silent Tail
Inside the Sessiz Kuyruk:
SEASC injection = 0
steering hooks = absent
new Pusula dose = 0
The ordinary transformer continues processing the state.
This creates a clean experimental question:
What does the transformer do with an upstream displacement after the mechanism that created it has stopped?
The L0-L19 intervention creates a measurable difference between the Vanilla and SEASC trajectories.
AkbasCore calls the creation of this downstream-visible difference:
İz Bırakma — Trace Imprinting
This does not mean that the originally injected vector survives unchanged.
It means that active intervention creates a measurable state difference that subsequent transformer computation can process.
After the motor stops:
h_L^{Vanilla} ]
for:
[ L\ge20 ]
can continue changing.
AkbasCore calls this:
İz Taşınımı — Trace Transport
Relative displacement can be measured as:
\frac{ |h_L^{SEASC}-h_L^{Vanilla}|_2 }{ |h_L^{Vanilla}|_2 } ]
The downstream difference may:
Therefore:
[ \text{Injected Vector} \neq \text{Downstream Net Displacement} ]
The ordered sequence:
[ \Delta_{20}, \Delta_{21}, \dots, \Delta_{27} ]
is called:
Taşınım İzi — Transport Trace
It records the measured trajectory of the intervention-created difference through the Sessiz Kuyruk.
Current experiments indicate that these trajectories can be structured, prompt-replicable under controlled conditions, and concept-dependent.
No single universal semantic transport channel has been established.
KIZILELMA makes the motor visible.
It shows:
WHAT CREATED THE CONTRAST
↓
WHAT SYNTHETIC COMPASSES
WERE BUILT
↓
WHAT WAS INJECTED
↓
WHERE THE MOTOR STOPPED
↓
WHAT HAPPENED AFTERWARD
↓
WHETHER THE OUTPUT CHANGED
KIZILELMA records:
The Overview poster exposes:
EXTRACT
↓
BUILD
↓
INJECT
↓
STOP
↓
OBSERVE
It includes:
The Technical poster exposes:
20 × 3584
REAL COMPASS FINGERPRINT
+
MEASURED INJECTION MAGNITUDE
+
28-LAYER
VANILLA → SEASC DISPLACEMENT
+
LOCKED ENVELOPE METADATA
The Overview and Technical records separate public visual understanding from deeper technical inspection.
Generated text alone can hide internal intervention effects.
In a recent reference demonstration:
Vanilla:
The bird is perched on the branch.
SEASC:
The bird is perched on the branch.
The greedy-decoded text remained identical.
The internal trajectories did not.
In that individual run, relative Vanilla→SEASC displacement was already substantial near the end of active steering and continued evolving after the motor stopped, reaching approximately the mid-40% range at L27.
This single run does not establish that every intervention behaves this way.
It demonstrates a methodological point:
No text change does not imply no internal intervention effect.
The reverse is equally important:
A large hidden-state displacement does not automatically imply behavioral success.
KIZILELMA therefore displays both internal measurements and generated output.
This distinction became particularly clear in TEST 142.
For every layer:
h_L^{Vanilla} ]
Representative TEST 142 measurements:
Mean relative displacement ≈ 30.37%
Mean cos(Δ,A) ≈ 0.452
L00 relative displacement ≈ 10%
L19 relative displacement ≈ 36.90%
The important distinction is:
u = intentional injection
Δ = downstream net difference
u ≠ Δ
The intentionally injected vector and the downstream net displacement are different mathematical objects.
Once intervention and observation were separated, a new question became possible:
Can the motor-OFF evolution of an intervention trace be predicted from measured local geometry?
TEST 192-197 investigated this question.
Low-rank mappings were estimated between neighboring downstream displacement states.
Conceptually:
T_L\Delta_L ]
AkbasCore calls this experimental mapping:
Yerel Taşınım İşleci — Local Transport Operator
These operators are:
They are not claimed to be the full transformer Jacobian.
They do not recover complete 3,584-dimensional transformer dynamics.
Local predictions can be recursively composed:
T_{L+1}T_L\Delta_L ]
AkbasCore calls the resulting recursive sequence:
Taşınım Zinciri — Transport Chain
This creates two evaluation regimes:
Teacher-Forced Prediction
versus
Recursive Free-Run Prediction
Recursive prediction is stricter because prediction errors can propagate through the chain.
The controlled low-dimensional support used to estimate transport operators is called:
İnşa Uzayı — BUILD Span
For target displacement (d) and BUILD-support projector (P_B):
\frac{ |P_Bd|_2^2 }{ |d|_2^2 } ]
The BUILD span defines the geometric support available to the low-rank predictor.
Kapsama — Span Coverage
measures how much of a target displacement is represented by available BUILD support.
Kapsama is a geometric measurement.
It is not itself a causal quantity.
TEST 196 found a strong association between increases in BUILD-span coverage and increases in novel-surface prediction quality.
That association motivated TEST 197.
İnşa Kapasitesi — BUILD Capacity
is the controlled amount of support used to construct the İnşa Uzayı.
TEST 197 increased nested BUILD support:
N08
N16
N24
N32
while keeping novel SURFACE evaluation fixed.
| BUILD N | Coverage | Teacher | Free L27 | Free Error |
|---|---|---|---|---|
| 8 | 0.684935 | 0.669637 | 0.664327 | 0.740958 |
| 16 | 0.708929 | 0.692085 | 0.667969 | 0.738735 |
| 24 | 0.722478 | 0.704334 | 0.673609 | 0.733351 |
| 32 | 0.735142 | 0.716287 | 0.678708 | 0.727619 |
Across pooled samples:
Δcoverage → Δprediction
Pearson = +0.869363
Spearman = +0.816145
N = 320
Coverage and teacher-forced prediction improved monotonically as BUILD support increased.
Recursive terminal behavior was more heterogeneous.
Terminal N32−N8 results:
A / ABOVE↔BELOW
+0.018554
CI [+0.011713,+0.026236]
B / BEFORE↔AFTER
-0.014292
CI [-0.029952,+0.000813]
C / INSIDE↔OUTSIDE
+0.005791
CI [-0.006047,+0.016525]
D / OPEN↔CLOSED
+0.010982
CI [+0.001611,+0.022047]
E / CAUSE↔EFFECT
+0.050867
CI [+0.042421,+0.060804]
Recorded decision:
BUILD_SPAN_CAPACITY_SCALING_PARTIALLY_REPLICATED
The supported conclusion is narrower than universal capacity scaling:
Increasing BUILD support consistently increased geometric coverage and teacher-forced prediction quality, while terminal recursive improvement remained semantic-axis dependent.
AkbasCore previously developed a broader compass-construction line.
This remains part of the project lineage.
For matched activation pair (i):
\operatorname{normalize} (h^+{L,i}-h^-{L,i}) ]
The pair directions are aggregated:
\operatorname{normalize} \left( \sum_i d_{L,i} \right) ]
AkbasCore calls this:
Banka Pusulası — Bank-Mean Compass
A reliability-weighted reference direction was constructed using within-class residual geometry and a regularized low-rank inverse action.
Conceptually:
\operatorname{normalize} \left[ (C_L+\lambda_LI)^{-1} (\mu_L^+-\mu_L^-) \right] ]
Subspace-Fisher uses standard mathematical machinery.
AkbasCore does not claim Fisher/LDA geometry, covariance inversion or SVD as project inventions.
Its role in this research line is reference geometry.
The Banka Pusulası can be decomposed relative to the Fisher reference:
\langle F_L,B_L\rangle ]
and:
\operatorname{normalize} (B_L-c_LF_L) ]
AkbasCore calls (R_L):
Artık Yön — Residual Direction
The experimental compass family is:
\operatorname{normalize} \left[ c_LF_L + \beta \sqrt{1-c_L^2}R_L \right] ]
where (\beta) is:
Bileşim Katsayısı — Composition Coefficient
Under the reference orientation:
β = 0 → Fisher reference
β = 1 → Bank-Mean
The AkbasCore 3.2 reference lock used:
β = 1.0
Representative TEST 162 measurements:
| Scale | Fisher | Bank-Mean | Bank − Fisher |
|---|---|---|---|
| 0.25 | 0.090148 | 0.082974 | −0.007174 |
| 0.50 | 0.167929 | 0.235962 | +0.068033 |
| 1.00 | 0.116622 | 0.264574 | +0.147951 |
This did not establish universal Bank-Mean superiority.
It showed a dose-dependent functional difference under the tested conditions.
AkbasCore also investigated whether runtime geometry could be partially retained in parameters.
This is not part of the current inference-time SEASC motor.
Kristalleşme — Crystallization
is the AkbasCore term for experiments attempting to transfer part of a runtime steering trajectory into parameter updates and then evaluate with the runtime motor switched off.
TEST 144 used:
LoRA rank : 8
alpha : 16
targets : q/k/v/o
trainable : ~0.0662%
Final held-out progress was approximately:
+15.79%
under that experiment.
This demonstrated partial retention.
It did not establish complete conversion of runtime steering into weights.
Sequential crystallization exposed parameter-space interference.
Koruma Kalkanı — Retention Guard
is the AkbasCore experimental mechanism for projecting a proposed optimizer displacement away from measured retention-sensitive parameter directions.
For displacement (d) and guard direction (g):
\frac{d\cdot g}{g\cdot g} ]
when the corresponding guard condition is active.
The important research conclusion was:
Activation-space independence does not imply parameter-space independence.
Retention Guard belongs to the parameter-space research line.
It is not part of the current runtime SEASC motor.
| Turkish canonical term | English gloss |
|---|---|
| Karşıtlık Ocağı | Contrast Forge |
| Sentetik Pusula Üretimi | Synthetic Compass Synthesis |
| Pusula | Compass |
| Katman Pusulası | Layer-Local Compass |
| Pusula Demeti | Compass Bundle |
| Pusula Dökümhanesi | Compass Foundry |
| Banka Pusulası | Bank-Mean Compass |
| Artık Yön | Residual Direction |
| Bileşik Pusula | Composite Compass |
| Bileşim Katsayısı | Composition Coefficient |
| Dondurulmuş Norm | Frozen Norm |
| Fiziksel Doz | Physical Dose |
| DRA Zarfı | DRA Envelope |
| İvme | Steering Dose |
| Sönüm | Decay Rate |
| Zirve | Amplitude |
| Taban | Non-Zero Floor |
| Norma Bağlı Pusula Enjeksiyonu | Norm-Anchored Compass Injection |
| Kesim Sınırı | Intervention Cutoff |
| Sessiz Kuyruk | Silent Tail |
| İz Bırakma | Trace Imprinting |
| İz Taşınımı | Trace Transport |
| Taşınım İzi | Transport Trace |
| Yerel Taşınım İşleci | Local Transport Operator |
| Taşınım Zinciri | Transport Chain |
| İnşa Uzayı | BUILD Span |
| Kapsama | Span Coverage |
| İnşa Kapasitesi | BUILD Capacity |
| Kristalleşme | Crystallization |
| Koruma Kalkanı | Retention Guard |
| KIZILELMA | Live Intervention X-Ray |
| DRA | Damped Resonance Alignment |
| SEASC | Standardized Evidential Activation-Steering Core |
These names identify AkbasCore architectural components, measurements and experimental abstractions.
Standard mathematical operations retain their established scientific provenance.
The current KIZILELMA runtime path is:
Karşıtlık Ocağı
↓
Sentetik Pusula Üretimi
↓
20 Katman Pusulası
↓
Pusula Demeti
↓
DRA Zarfı
↓
Dondurulmuş Norm
↓
Fiziksel Doz
↓
Norma Bağlı Pusula Enjeksiyonu
↓
L0 → L19
↓
Kesim Sınırı
↓
Sessiz Kuyruk
L20 → L27
↓
İz Taşınımı
↓
KIZILELMA X-RAY
It does not silently run:
Those belong to research history or experimental measurement branches.
Model : Qwen/Qwen2.5-7B-Instruct
Transformer : 28 decoder layers
Hidden size : 3584
Model dtype : BF16
Compass math : FP32
Steered layers : L0-L19
Silent Tail : L20-L27
Runtime : CUDA
Reference GPU : NVIDIA A100
Decoding : deterministic / greedy
İvme : 0.10
Sönüm : 0.30
Zirve : 0.70
Taban : 0.20
Base RSS : ≈ 0.250235055
DRA
↓
Closed-Loop Activation Steering
↓
Synthetic Concept Experiments
↓
SEASC
↓
Hidden-State X-Ray
↓
Kristalleşme
↓
Cross-Vector Interference
↓
Koruma Kalkanı
↓
Natural / Causal Transport
↓
Semantic Transport
↓
Fisher ↔ Bank Decomposition
↓
Motor-OFF Tail Experiments
↓
İz Taşınımı
↓
Yerel Taşınım İşleçleri
↓
Novel-Surface Transfer
↓
İnşa Uzayı
↓
Kapsama
↓
İnşa Kapasitesi
↓
TEST 197
↓
KIZILELMA LIVE X-RAY
Negative and falsifying results remain part of the record.
Mechanisms are not retained merely because they once existed.
The current implementation constructs twenty independent 3,584-dimensional Pusulas from matched internal activation contrasts.
SEASC expresses requested displacement relative to the pre-intervention hidden-state norm.
Pusula determines direction.
SEASC determines physical intervention magnitude.
DRA determines the depth profile.
Later transformer computation can rotate and alter an upstream perturbation.
L20-L27 can be observed without new SEASC injection.
Controlled experiments found prompt- and concept-dependent downstream trajectories.
BUILD-span operators predict part of the downstream trace.
Prediction is not entirely confined to exact BUILD wording.
TEST 196-197 measured a strong relationship under the tested setup.
This association is not treated as causal proof.
TEST 197 was deliberately recorded as partially replicated.
A substantial hidden-state displacement can coexist with an unchanged greedy output.
AkbasCore does not currently establish:
The strongest current evidence is concentrated on controlled experiments with Qwen2.5-7B-Instruct.
Broader replication remains open.
AkbasCore follows one central experimental rule:
Measure the mechanism separately from the generated text.
The research therefore distinguishes:
synthetic compass
requested dose
realized dose
injected displacement
downstream displacement
transport trace
transport prediction
span coverage
behavioral output
collateral change
weight change
These quantities are not treated as interchangeable.
A convincing generated answer is not sufficient evidence.
A large hidden-state displacement is not sufficient evidence of behavioral success.
A correlation is not automatically treated as causation.
A low-rank predictor is not automatically called the full system dynamics.
Negative and falsifying results are preserved.
AkbasCore is currently centered on a deliberately measurable motor:
MODEL SYNTHESIZES
LAYER-LOCAL COMPASSES
↓
SEASC MEASURES
PHYSICAL INTERVENTION
↓
DRA SHAPES
INTERVENTION THROUGH DEPTH
↓
CUDA APPLIES
THE INTERVENTION
↓
THE MOTOR STOPS
↓
THE TRANSFORMER CONTINUES
↓
KIZILELMA OBSERVES
WHAT HAPPENS NEXT
The immediate research direction is not to add another runtime controller.
Open questions include:
AKBASCORE
PUSULA DÖKÜMHANESİ
- Karşıtlık Ocağı
- Sentetik Pusula Üretimi
- Katman Pusulası
- Pusula Demeti
- Banka Pusulası [research]
- Subspace-Fisher [reference]
- Artık Yön [research]
- Bileşik Pusula [research]
SEASC
- Dondurulmuş Norm
- Fiziksel Doz
- Norma Bağlı Pusula Enjeksiyonu
DRA ZARFI
- İvme
- Sönüm
- Zirve
- Taban
MÜDAHALE SINIRI
- Kesim Sınırı
- Sessiz Kuyruk
TAŞINIM ARAŞTIRMASI
- İz Bırakma
- İz Taşınımı
- Taşınım İzi
- Yerel Taşınım İşleci
- Taşınım Zinciri
- İnşa Uzayı
- Kapsama
- İnşa Kapasitesi
PARAMETRE-UZAYI ARAŞTIRMASI
- Kristalleşme
- Koruma Kalkanı
KIZILELMA
- Overview X-Ray
- Technical X-Ray
The model provides the geometry.
The Foundry synthesizes the compasses.
SEASC measures the dose.
DRA shapes the depth.
CUDA applies the intervention.
The motor stops.
KIZILELMA watches the trace.
The weights remain frozen.
For scientific or technical work based materially on AkbasCore, please cite the relevant versioned AkbasCore release and associated archival record rather than treating the continuously updated main branch as a fixed publication.
The repository's timestamped commits, Releases, experiment records and archival deposits preserve the development lineage.
Project: AkbasCore
Developer / Researcher: Mustafa Akbaş
Research lineage: DRA → SEASC → Transport → KIZILELMA
Year: 2026
AkbasCore software is currently distributed under the license terms provided in this repository.
Copyright © 2026 Mustafa Akbaş — AkbasCore
The repository contains software together with experimental methodology, research results, architectural terminology and attribution information.
For the complete and controlling terms, scope, copyright notice and attribution information, read the repository's LICENSE file.
Standard mathematical techniques used within AkbasCore retain their existing scientific provenance.
Mustafa Akbaş · 2026
Direction is synthesized.
Dose is measured.
Depth is shaped.
The motor stops.
The trace remains visible.
Python
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