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Feature Rivalry in Sparse Autoencoder Representations: A Mechanistic Study of Uncertainty-Driven Feature Competition in LLMs

arXiv cs.LG · 2026-05-12 Cached

This research paper introduces 'Feature Rivalry' in Sparse Autoencoder representations as a mechanistic signature of uncertainty in LLMs. Using Gemma-2-2B, the study demonstrates that negatively correlated feature pairs localize uncertainty to specific layers and causally influence model outputs.

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