Persona vectors form within the first 0.22% of LLM pretraining and remain effective for steering post-trained models, with continued refinement and transfer to other models.
Persona: Dynamic and compositional inference-time personality control via activation vector algebra.ArXiv, abs/2602.15669
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Off-the-shelf persona vectors for doubt and scrutiny reduce sycophancy comparably to CAA while maintaining accuracy on correct inputs and showing directional independence.
LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.
citing papers explorer
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Tracing Persona Vectors Through LLM Pretraining
Persona vectors form within the first 0.22% of LLM pretraining and remain effective for steering post-trained models, with continued refinement and transfer to other models.
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Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
Off-the-shelf persona vectors for doubt and scrutiny reduce sycophancy comparably to CAA while maintaining accuracy on correct inputs and showing directional independence.
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The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
LLMs organize prompted social roles along a dominant, stable, and causally steerable granularity axis in representation space that runs from micro to macro levels.