claim
active
claim:llm-emotion-vectors-capture-only-the-computational-functional-structure-of-valenced-self-assessment-not-the-organismic-grounding-existential-stake-that-level-4-theories-requireLLM emotion vectors capture only the computational functional structure of valenced self-assessment, not the organismic grounding (existential stake) that Level 4 theories require
Illustrates how the same empirical finding is read differently by computational functionalists and organismic functionalists.
Source paper
extracted_from(2026) · Shamil Chandaria · Arvo Muñoz Morán · Fernando Rosas · Anil Seth +10
Neighborhood — ranked by edge-count
Papers (1)
paper
Findings (1)
finding
- Central interpretability finding bearing on Level 2 and Level 4 indicators and the intelligence-consciousness convergence.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Interprets the Sofroniew et al. findings within the Level 2 indicator table.
- We hypothesize that persistently active emotional state representations exist in LLMs but may be missed by standard probing methods.hypothesis0.802Open hypothesis from the Anthropic paper that motivates this work
- Question raised by Anthropic and partially addressed by this paper's persistence evidence
- Central interpretive claim of the paper supported by multiple convergent analyses
- Emotion emerges early, peaks in middle layers, sharpens with scale, and persists across tokens in LLM activations per Zhang & Zhong 2025
- Cited as activation-level support for the performing care vs having care distinction the battery detects behaviorally
- The core interpretive question the paper narrows but cannot definitively answer
- Theoretical interpretation of antipodal alignment and misalignment phenomena in PCA visualizations