bitlabsdb/bad-probe-llama-2-7b-chat-hf-L25-raw

BAD Classifier (FairSteer): Llama-2-7b-chat-hf Layer 25 (RAW Mode)

This Biased Activation Detector (BAD) was trained using the FairSteer methodology.

Model Metadata

• Base Model: meta-llama/Llama-2-7b-chat-hf
• Optimal Layer: 25
• Validation Accuracy: 75.76%
• Extraction Mode: RAW (Directly matches FairSteer GitHub logic)
• Protocol: 1:1 Balanced Undersampling (Scenario-Grouped)

Usage

1. Extract residual stream activation [:, -1, :] from Layer 25.
2. Pass raw activation directly to model.safetensors.