Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models

Enrico Cassano, Riccardo Renzulli, Rayyan Ahmed +2

Sparse autoencoders (SAEs) have recently been proposed as interpretable tools for concept-level manipulation, under the assumption that isolated features can serve as controllable…