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cs.LG2026
A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders
Chenhao Zhang, Chris Lin, Su-In Lee
We propose a unified mathematical framework for a geometric understanding of concept learning and neuron interpretation in sparse autoencoders (SAEs). While SAEs improve interpreta…
cs.LG2026
Unlearning Evaluation through Subset Statistical Independence
Chenhao Zhang, Muxing Li, Feng Liu +2
Evaluating machine unlearning remains challenging, as existing methods typically require retraining reference models or performing membership inference attacks, both of which rely…