Criterion 3: IIT estimates must achieve higher mean AUC than Span Representation for ToM score classification.

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

• Can IIT estimates provide a stronger basis for interpreting variations in ToM performance than Span Representation, independent of any consciousness estimate?question0.841
  Criterion 3 operationalization: requires IIT mean AUC to exceed Span Representation mean AUC.
• 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).finding0.814
  Contrasts with temporal permutation where Span Representation dominates; suggests spatio permutation reveals different dynamics.
• 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.claim0.807
  Main interpretive finding from Criterion 3 comparison showing Span Representation consistently outperforms IIT under temporal permutation.
• Can estimates of Φ, the primary metric of IIT, robustly differentiate responses across distinct ToM performance levels?question0.794
  Criterion 1 operationalization: requires >80% 'good' cases (higher score → higher Φ) per ToM task.
• Criterion 1: Φ estimates must yield >80% 'good' cases (higher score → higher Φ) per ToM task to indicate potential consciousness.concept0.772
  First of three operational criteria for identifying consciousness phenomena in LLM representations.
• None of the cases identified under temporal permutation satisfy the Criterion 1 threshold of >80% 'good' cases for any ToM task.finding0.764
  Even the rare cases where good > bad do not reach the 80% significance threshold required by Criterion 1.
• 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.
• 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).hypothesis0.761
  Specific prediction linking IIT's prediction of high Φ for good performance to the experimental design's scoring structure.