SharedSAE: a unified sparse dictionary across u-net blocks and denoising time for diffusion models
Concept representations in diffusion models drift across network depth and denoising time, yet existing sparse autoencoders offer only per-block or per-timestep dictionaries, leaving no single feature dictionary for localization and intervention in the network.
arXiv - cs.CV (CV)2 min read