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Sparse Autoencoders Can Induce Local Geometry for Mitigating Catastrophic Forgetting

arXiv:2610.22439v1 Announce Type: new 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 constra…

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  1. 2026-10-19 04:00 · arXiv cs.LG
    Sparse Autoencoders Can Induce Local Geometry for Mitigating Catastrophic Forgetting

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