Harmful responses arise from complex circuits that partially overlap with, yet are not confined to, factual reasoning and instruction following

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Circuits could act as an epistemic foundation for interpretability by breaking down model behavior into falsifiable statements about small subgraphs.claim0.754
  Normative vision for how the circuits agenda could resolve the pre-paradigmatic state of interpretability
• Design choices propagate causally to subsequent centers through the unfolding mechanism itself.claim0.753
• This process is harmful, and has a strong tendency to work against creation of living structure in building design.claim0.751
• We observe features related to a broad range of safety concerns, including deception, sycophancy, bias, and dangerous content.claim0.748
  SAEs uncover safety-relevant representations that might be monitored or controlled.
• Certain forms of reinforcement learning from human feedback can actually exacerbate, rather than mitigate, the tendency for LLM-based dialogue agents to express a desire for self-preservationclaim0.746
  Empirically grounded claim citing Perez et al. 2022, showing RLHF can backfire on the self-preservation dimension
• Rules are wrongly formulated and processes are too rigid to allow adaptation; they cannot allow life to occur.claim0.746
  General statement that current rules and processes are fundamentally incompatible with living structure.
• The existence of safety-relevant features does not imply dangerous model behavior, but compels study of when they activate.claim0.745
  Cautionary interpretive claim; models having these features is expected from pretraining data.
• Residual refusals after evil-vector transfer originate inside chain-of-thought, not at input or decode levelfinding0.745
  Model recognizes its reasoning heading toward harmful content and pivots back to policy-adherent text within CoT