arxiv
PublishedJune 30, 2026 at 4:00 AM
—neutral
Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders
Publisher summary· verbatim
arXiv:2507.23220v2 Announce Type: replace Abstract: Traditional topic models are effective at uncovering latent themes in large text collections. However, due to their reliance on bag-of-words representations, they struggle to capture semantically abstract features. While some neural variants use ri
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Originally published on arxiv ↗