AnalysisAI ModelsOctober 15, 2026

Study finds sparse autoencoder feature reproducibility needs larger data budgets

Read original source →arxiv.org

Sparse autoencoders can be trained with far fewer activation tokens when data budgets align with evaluation goals, but feature-level reproducibility demands larger scales. Functional behavior matching does not guarantee features reproduce across runs.

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