Cascading linear features extracted from graded sycophancy samples form separable subspaces that enable detection, scoring, and steering of sycophantic behavior in LLMs, matching or exceeding LLM-judge and prompting baselines.
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2 Pith papers cite this work. Polarity classification is still indexing.
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The Cylindrical Representation Hypothesis (CRH) models LLM representations as a central axis for concept activation surrounded by a normal plane containing sensitive sectors that determine steering sensitivity and introduce intrinsic uncertainty.
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The Cylindrical Representation Hypothesis for Language Model Steering
The Cylindrical Representation Hypothesis (CRH) models LLM representations as a central axis for concept activation surrounded by a normal plane containing sensitive sectors that determine steering sensitivity and introduce intrinsic uncertainty.