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Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures

A hierarchical sparse autoencoder architecture explicitly models semantic concept hierarchies, improving reconstruction, interpretability, and efficiency in language model representations.

Mark Muchane, Sean M Richardson, Kiho Park, Victor Veitch

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
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strict 0/5