arxiv
PublishedJuly 3, 2026 at 4:00 AM
Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models
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arXiv:2606.31699v2 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) have recently been proposed as interpretable tools for concept-level manipulation, under the assumption that isolated features can serve as controllable intervention points. In this work, we systematically evaluate
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