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Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models
arXiv cs.CL — Computation and Language
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What the source reports
Researchers propose a statistically-grounded method for sparse-feature intervention in LLMs, enhancing activation steering for behavioral control without fine-tuning.
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