question
active
question:to-what-extent-can-intent-be-reasonably-ascribed-to-language-modelsTo what extent can intent be reasonably ascribed to language models?
Core open question the paper addresses regarding AI intentionality.
Source paper
extracted_from(2024) · Francis Rhys Ward · Zejia Yang · Alex Jackson · Randy A. Brown +6
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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.
- Core open question the paper addresses through a behaviourist operationalisation.
- The core motivating question of the paper, framed by Christiano et al. (2021)
- Articulates why a one-layer transformer with MLP is the appropriate starting target for mechanistic interpretability
- Features related to gender, racial, ethnic biases, slurs, and hate speech.
- Abstract's main conclusion.
- Central research question animating the paper: distinguishing genuine introspection from illusion through causal manipulation of activations.
- Key prior finding that LLMs can internally represent beliefs of self and others, motivating SOO approach