MNEME

1. BatchTopK Cross-Coder learns sparse vector representations of latent features between two models

2. Latent Scaling technique quantifies whether each feature was strengthened, weakened, or maintained

3. LLM-based automatic interpretation and classification assigns meaning to features

Results

• Emergent Misalignment

• SAE Unlearning