Can IIT estimates provide a stronger basis for interpreting variations in ToM performance than Span Representation, independent of any consciousness estimate?

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

• Variations in ToM test score categories are more likely attributed to span-level information of the LLM representation sequence rather than to a 'consciousness' phenomenon as suggested by IIT estimates.claim0.848
  Main interpretive finding from Criterion 3 comparison showing Span Representation consistently outperforms IIT under temporal permutation.
• Criterion 3: IIT estimates must achieve higher mean AUC than Span Representation for ToM score classification.concept0.841
  Third of three operational criteria; distinguishes consciousness from inherent LLM representational separations.
• Can estimates of Φ, the primary metric of IIT, robustly differentiate responses across distinct ToM performance levels?question0.811
  Criterion 1 operationalization: requires >80% 'good' cases (higher score → higher Φ) per ToM task.
• Under spatio permutation controls, IIT consciousness estimates outperform Span Representation in mean AUC in several cases (LLaMA3.1-70B on Hinting and Irony, Mistral-7B on Irony, LLaMA3.1-8B on Strange Stories).finding0.810
  Contrasts with temporal permutation where Span Representation dominates; suggests spatio permutation reveals different dynamics.
• The absolute or isolated value of any IIT estimate lacks intrinsic meaning; IIT estimates are only interpretable when compared across varying levels or contents of consciousness under consistent contextual conditions.claim0.796
  Methodological constraint adopted from IIT literature to justify the comparative experimental design.
• If 'consciousness' phenomenon can be observed from ToM-related RN, higher ToM test scores should yield higher values of μΦmax (IIT 3.0) and/or μΦ (IIT 4.0).hypothesis0.785
  Specific prediction linking IIT's prediction of high Φ for good performance to the experimental design's scoring structure.
• IIT alone cannot serve as a definitive criterion for identifying consciousness in LLM representations due to its panpsychist implications challenging its specificity.claim0.766
  Motivates the hybrid approach combining IIT, Span Representation, and multiple criteria.
• Directing response attention to complement syntax and/or mental state verbs (MSV) yields no significant alterations in IIT estimates compared to entire stimulus analysis.finding0.763
  Suggests LLMs do not represent complement/MSV linguistic features in the same way as they are crucial for human ToM development.