Mid-Layer Emotion Representation Peak

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

• Mid-layers (6-15) achieve peak anchoring because semantic structure differentiates while maintaining coherence, forming a Goldilocks zoneclaim0.753
  Interpretation of E3 layer-wise results; motivates targeted UCCT interventions at layers 8-12
• Peak layer ℓ* median 10, IQR 0.384finding0.745
  Median layer where S(ℓ) peaks, across seeds.
• Enacted reflection may correspond to silent mid-layer processing; described reflection to the motor impulse of concepts leaking through to output.claim0.733
  Mechanistic analog connecting Lindsey's layer-localized findings to the scorer's enacted/described distinction
• Thought detection peaks at ~2/3 layer depth; intention checking peaks at ~1/2 layer depth.finding0.731
  Lindsey (2026) differential layer performance explained by Janus's path combinatorics — different tasks use different path distributions.
• Emotion refers to a state concept, so stateful representations in general may be more persistent across tokens.claim0.729
  Interpretive hypothesis offered to explain why emotion features are more persistent
• Introspective signals appear in middle layers but are suppressed by later post-training-shaped layers.finding0.720
  Mechanistic finding by Lindsey (2026) explaining how contemplative prompt may work: enables mid-layer introspection to reach output.
• emotion feature persistenceconcept0.718
  The phenomenon that emotion feature activations remain elevated above baseline beyond local token bursts, measurable as long-range correlation
• Layer 27 (last layer) has largest projection magnitude on the reflection direction among all attention head layers in DeepSeek-R1-Qwen-1.5Bfinding0.716
  Attribution finding suggesting the last layer directly controls reflection keyword generation