New sparse autoencoder methods advance LLM interpretability

Multiple papers introduce novel SAE architectures (Turn-Averaged SAEs, Rational SAE) and theoretical analyses of feature detection vs. steering. The works aim to improve faithfulness and scalability of mechanistic interpretability.