claim
active
claim:llms-can-compute-meaningful-functions-over-perturbations-to-their-internal-states-establishing-introspection-as-a-real-but-layer-dependent-phenomenon

LLMs can compute meaningful functions over perturbations to their internal states, establishing introspection as a real but layer-dependent phenomenon

Primary positive claim of the paper, grounded in strength comparison and localization results

Source paper

extracted_from
Detecting the Disturbance: A Nuanced View of Introspective Abilities in LLMs
(2025) · Ely Hahami · I. N. Sinha · Jain, Lavik · Kaplan, Josh +1

Neighborhood — ranked by edge-count

Findings (3)

finding

Concepts (1)

concept
  • AI Safety
    associated_with
    The project of ensuring AI systems do not harm humans (and other animals); sometimes in tension with AI welfare.

Claims (1)

claim

Methods (1)

method
  • Experimental design where injection strengths are swapped between sentences in two parts of each trial to cancel positional preferences

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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