2/3 Layer of LLM

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

• All cases satisfying Criteria 1 and 2 (two out of three) originate from deeper transformer layers and/or the 2/3 layer of LLMs.finding0.764
  Consistent with literature that deeper layers encode semantic information and align with human brain activity.
• Reflection in LLMsconcept0.758
  The core phenomenon studied: the ability of LLMs to evaluate and revise their own reasoning.
• LLMs hierarchically develop understanding of their input data, progressing from surface-level features in early layers to more abstract concepts in later layersclaim0.745
  Interpretation of the layer-by-layer PCA visualizations showing linear structure emerging in early-middle layers
• Linear Representation of Concepts in LLMsconcept0.743
  The finding that interpretable concepts including character traits are encoded as linear directions in transformer residual streams
• LLM Internal Representationsconcept0.740
  High-dimensional vectors produced at each transformer layer for each input token; the primary substrate analyzed in this study.
• In intermediate regimes of scale or layer depth, LLMs may linearly represent features at intermediate levels of abstraction such as 'accurate factual recall' or 'close association' rather than abstract truthclaim0.736
  Theoretical interpretation of antipodal alignment and misalignment phenomena in PCA visualizations
• LLM psychosisconcept0.735
  Tendency for models to get lost in roleplay or doom spirals, mitigated by expanded awareness.
• LLM Meta-Cognitionconcept0.723
  The ability of LLMs to monitor and evaluate their own reasoning, closely related to reflection.