Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders
This work proposes the Pairwise Dictionary Mean Correlation Coefficient (PW-MCC) as an assignment-based metric to quantify consistency and demonstrates that high levels are achievable with appropriate architectural choices for TopK SAEs on LLM activations with appropriate architectural choices.