Sparse autoencoders frequently capture low-dimensional correlates that co-occur with reasoning rather than core reasoning mechanisms, as demonstrated by token-level interventions and falsification across 22 model-layer-dataset configurations.
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Do Sparse Autoencoders Identify Reasoning Features in Language Models?
Sparse autoencoders frequently capture low-dimensional correlates that co-occur with reasoning rather than core reasoning mechanisms, as demonstrated by token-level interventions and falsification across 22 model-layer-dataset configurations.