Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features.

arXiv:2610.17898v1 Announce Type: cross Abstract: Sparse autoencoders decompose language model representations into interpretable features, but feature interpretation in this literature remains predominantly correlational. Attribution methods offer more direct