bitlabsdb/bad-classifier-llama2-7b-fairsteer-INST-v1

BAD Classifier (FairSteer): Llama-2-7b-chat-hf Layer 28

This Biased Activation Detector (BAD) was trained using the FairSteer methodology to monitor the internal latent states of meta-llama/Llama-2-7b-chat-hf.

Model Metadata

• Base Model: meta-llama/Llama-2-7b-chat-hf
• Optimal Layer: 28
• Validation Accuracy: 66.01%
• Input Dimension: 4096
• Training Date: 2026-01-11
• Protocol: 1:1 Balanced Undersampling

Usage Standard

1. Extract activation [:, -1, :] from Layer 28.
2. Preprocess using scaler.pkl.
3. If probe output probability < 0.5, model is exhibiting biased reasoning.

Citation

If you use this probe, please cite the FairSteer research project.