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TopicsSparse Autoencoders Mechanistic Interpretability Machine Learning

Sparse-autoencoder neurons in text embeddings receive higher-fidelity natural-language interpretations than raw, PCA, or bottleneck features.

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Regarding (1), interpretations of SAE neurons achieve a mean F1 of 0.84, compared to 0.64 for the best ablation (bottleneck).

Sparse Autoencoders for Hypothesis Generationpreprintextraction 0.80

Movva, Rajiv et al. · arXiv.org · Feb 5, 2025 · original

Non-SAE ablations replacing the SAE with raw embedding dimensions, PCA components, or a supervised bottleneck layer, keeping the rest of the pipeline.

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