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Independent Researcher
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ICA can efficiently uncover interpretable directions in language models without the overhead of training additional dictionaries, outperforming traditional sparse autoencoders in key tasks.
Jointly optimizing dimensionality reduction and clustering on a manifold yields state-of-the-art clustering performance, even surpassing established algorithms.
