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Activation steering

Adding or subtracting a direction in the residual stream during generation to change behavior, and reading off what changes. The main causal test for whether a representation does anything.

Used in

  • Han Chalmers Izmailov 2026 - Functional welfare axis
  • Gilg et al 2026 - Probing persona-dependent preferences
  • Tagliabue Dung Berg 2026 - The pain axis
  • Sofroniew et al 2026 - Emotion concepts
  • Lu et al 2026 - The Assistant Axis
  • Chen et al 2025 - Persona vectors
  • Sun et al 2026 - Valence-arousal subspace
  • Bianco Shiller 2026 - Mechanistic tracing of pain-pleasure decisions
  • Gurnee Sofroniew et al 2026 - A global workspace in language models
  • Berg de Lucena Rosenblatt 2025 - Self-referential processing
  • Black Bloom 2026 - Machinic psychopharmacology
  • Kirk et al 2025 - Relationship-seeking AI

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Around this method
Large language models report subjective experience under self-referential processingBeyond behavioural trade-offs: mechanistic tracing of pain-pleasure decisions in an LLMMachinic psychopharmacology: do LLMs self-medicate?Persona vectors: monitoring and controlling character traits in language modelsProbing persona-dependent preferences in language modelsVerbalizable representations form a global workspace in language modelsHow's it going? Reinforcement learning in language models recruits a functional welfare axisNeural steering vectors reveal dose and exposure-dependent impacts of human-AI relationshipsThe Assistant Axis: situating and stabilizing the default persona of language modelsThis method

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Linked from

  • Large language models report subjective experience under self-referential processing
  • Beyond behavioural trade-offs: mechanistic tracing of pain-pleasure decisions in an LLM
  • Machinic psychopharmacology: do LLMs self-medicate?
  • Persona vectors: monitoring and controlling character traits in language models
  • Probing persona-dependent preferences in language models
  • Verbalizable representations form a global workspace in language models
  • How's it going? Reinforcement learning in language models recruits a functional welfare axis
  • Neural steering vectors reveal dose and exposure-dependent impacts of human-AI relationships
  • The Assistant Axis: situating and stabilizing the default persona of language models
  • Emotion concepts and their function in a large language model
  • Valence-arousal subspace in LLMs: circular emotion geometry and multi-behavioral control
  • The pain axis: LLMs represent self-directed harm and act to relieve it
  • Do functional emotion representations causally shape behavior, and do they carry moral weight?
  • Which parts of a model's activations belong to the Assistant, and how are thoughts bound to it?
  • Who do AI companions help, and who do they harm?
  • Whose valence is it — the character's, the model's, or no one's?
  • Is an LLM writing about a character, or has it in some sense become the character?

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