Author

M. Rafy

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2026

Statistically Grounded Sparse-Feature Interventions for Activation-Space Control in Large Language Models

This work introduces a transparent SAE-feature steering pipeline that first applies a six-condition reliability filter, then ranks sparse features through an unweighted Borda consensus over three complementary statistics: F -test, KSG mutual information, and Cohen's d .

Oshayer Siddique, J. M. A. U. Alam, M. Rafy et al. · arXiv.org · 0 citations