Neel Desai
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126
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ML×1AI×1
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2026
ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
The paper introduces Residualized Sparse Autoencoders (ReSAEs) to improve multi-layer interventions in transformers by training each layer on the residual activation, which better preserves cross-layer information relevant to model performance.
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