arxiv
PublishedOctober 19, 2026 at 4:00 AM
Sparse Autoencoders Can Induce Local Geometry for Mitigating Catastrophic Forgetting
Publisher summary· verbatim
arXiv:2610.22439v1 Announce Type: cross Abstract: Catastrophic forgetting remains a challenge in supervised continual learning, as adapting to new tasks causes representation drift and loss of previously learned information. This raises the question of which representational changes should be constr
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Originally published on arxiv ↗