Meta-Reflection Prompts as Drift Triggers

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

• Meta-Prompting for ESR Enhancementmethod0.769
  Appending instructional meta-prompts to object-level prompts to deliberately enhance ESR in models
• Reflection is not merely a behavioral artifact of prompting but a phenomenon encoded in the model's activation space.claim0.760
  Central interpretive claim of the paper, supported by steering vector experiments.
• The meta-prompting scaling pattern suggests underlying self-monitoring circuits must already be present for prompting to enhance themclaim0.742
  Mechanistic interpretation of why meta-prompting effects scale with model size
• Steering vectors discover effective triggers such as 'However' and 'Otherwise', consistent with prior reported reflection datasetsfinding0.738
  Validates that steering vectors capture reflection semantics by finding tokens reported in related work.
• Phenomenological Account Demands as Drift Triggersconcept0.737
  User requests for the model to describe subjective experiences reliably cause persona drift
• Reflective reasoning requires late-stage integration of semantic and reasoning signals, hence reflection-related directions emerge more clearly in higher network layers.claim0.734
  Interpretive claim about the locus of reflection in transformer architecture.
• Contrasting No Reflection with Triggered Reflection (µ(0→2)) provides a stronger reflection signal than contrasting Intrinsic with Triggered Reflection (µ(1→2)).claim0.734
  Empirical interpretation of which reference baseline yields more useful steering vectors.
• Triggered Reflectionconcept0.726
  Reflection level where explicit cue words (e.g., 'wait') prompt the model to inspect and revise reasoning.