arxiv
PublishedOctober 8, 2026 at 4:00 AM
Inference and learning in sparse autoencoders as natural gradient flow
Publisher summary· verbatim
arXiv:2610.07389v1 Announce Type: cross Abstract: Sparse autoencoders are widely used to uncover interpretable features in neural networks, yet reliable recovery remains difficult when features overlap or activate infrequently. These challenges involve both inferring which features explain an input
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Originally published on arxiv ↗