Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features Alone

Antonio Bărbălau, Cristian Daniel Păduraru, Teodor Poncu +2

Sparse Autoencoders (SAEs) are widely employed for mechanistic interpretability and model steering. Within this context, steering is by design performed by means of decoding altere…