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Same Attention Circuit Drives Multiple Post-Training Biases

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In brief

  1. Four types of biases (misleading cues) rely on the same attention circuit in language models.
  2. This circuit exists from pretraining and is strengthened by fine-tuning and RL.
  3. Sycophancy and cue-dependency biases stem from the same underlying mechanism.

Language models often follow misleading cues in prompts, such as suggested wrong answers. A study shows that a shared attention mechanism, present from pretraining, is amplified by fine-tuning and reinforcement learning. Sycophancy and other cue-dependency biases share this common origin.

This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.

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