goodfire

Interpretability is moving from features to geometry, and its researchers say so out loud News

Goodfire researcher Tom McGrath addressed the circulating claim that sparse autoencoders are dead, arguing they remain pragmatically useful but capture only partial views of curved structure, as his lab pushes toward geometry-aware interpretability and training-time control instead of post-hoc feature extraction.