Task instructions can be transcribed into prior beliefs of a generative model, making instruction-following an instance of prior belief specification.

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• We hypothesize that explicitly instructing the model to evaluate the correctness of the given statement may change the geometry of truth directions.hypothesis0.772
  Motivating hypothesis for Section 5's investigation of prompt template effects.
• The sensitivity to think/don't think instructions may be achieved via a circuit that tags tokens as attention-worthy based on instructions or incentiveshypothesis0.772
  Mechanism for how the model modulates representation strength.
• Some failures may reflect prompt design rather than model limitations, but the underlying issue is one of reasoning rather than instruction-following.claim0.770
  Acknowledges the confound of not explicitly instructing models to track wealth, yet points to reasoning gaps given code agents avoid errors without prompts.
• Truth directions fail to generalize to harder tasks (F3-F5) regardless of prompt template because activations remain highly entangled.claim0.770
  Establishes task difficulty as a hard limit that instructions cannot overcome.
• Ouyang et al. 2022: Training language models to follow instructions with human feedbackconcept0.763
  RLHF paper cited as a major fine-tuning technique used in commercial dialogue agents
• Do effective trigger instructions correspond to latent directions in the hidden space that implicitly induce the self-reflection process?question0.763
  Second key research question motivating the latent direction analysis.
• Precise specification informs use and implementation without entangling them.claim0.762
• What is the effect of model instructions on truth directions?question0.761
  Research question motivating Section 5.