Mechanistic Understanding

Papers tagged with this research_area:

• Representation Engineering: A Top-Down Approach to AI Transparency

  Shows we can locate and control the ‘honesty’ concept inside models like a dial, challenging the notion of belief as fixed and raising questions about the nature of AI rationality.

  Controllable Honesty Representation Manipulation Interpretability AI Alignment Mechanistic Understanding Large Language Models

• Discovering Latent Knowledge in Language Models Without Supervision

  Introduces Contrast-Consistent Search (CCS) to identify ’truth’ as a special direction in model activation space, providing evidence for AI belief distinct from output.

  Latent Truth vs Output Epistemic Split Interpretability AI Alignment Mechanistic Understanding Large Language Models