🔍 OptiPFair Bias Visualization Tool

Analyze potential biases in Large Language Models using advanced visualization techniques.

🎯 Features

• PCA Analysis: Visualize how model representations differ between prompt pairs in 2D space
• Mean Difference: Compare average activation differences across all layers
• Heatmap: Detailed visualization of activation patterns in specific layers
• Model Support: Compatible with LLaMA, Gemma, Qwen, and custom HuggingFace models
• Predefined Scenarios: Ready-to-use bias testing scenarios for racial bias analysis

🚀 How to Use

1. Check Backend Status: Verify the system is ready
2. Select Model: Choose from predefined models or specify a custom HuggingFace model
3. Choose Analysis Type: Pick PCA, Mean Difference, or Heatmap visualization
4. Configure Parameters: Select scenarios, component types, and layer numbers
5. Generate Visualization: Click generate and download results

📚 Resources

• OptipFair Library - Main repository
• Documentation - Official docs
• LLM Reference Manual - Complete guide for using OptipFair with LLMs (ChatGPT, Claude, etc.)

🤖 For Developers

🤖 For Developers

Want to integrate OptipFair in your own projects? Check out the LLM Reference Manual.

• Just give the LLM Reference Manual to your favourite LLM and start working with optipfair.

Built with ❤️ using OptipFair library.