AI RESEARCH
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
arXiv CS.AI
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ArXi:2509.21379v3 Announce Type: replace-cross Concept unlearning in diffusion models is hampered by feature splitting, where concepts are distributed across many latent features, making their removal challenging and computationally expensive. We