concept
active
concept:emergent-abilities-of-llmsEmergent Abilities of LLMs
Prior work documenting abrupt capability changes under scale; UCCT provides a measurable predictor for when they occur
Neighborhood — ranked by edge-count
Thinkers (1)
thinker
- Jason WeistudiesEmergent abilities of LLMs.
Concepts (1)
concept
- threshold-like behaviorassociated_withSharp performance changes when S crosses a critical value.
Findings (1)
finding
- Contradicts expectation from emergent abilities literature; however, interpreted cautiously due to methodological limitations.
Artifacts (1)
artifact
- Main paper presenting UCCT and semantic anchoring framework.
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.
- Lindsey 2026 paper finding that models can articulate content of injected activation patterns; supports claim about self-knowledge representations
- Problem cited as a shortcoming of current LLMs; PRH predicts hallucinations should decrease with scale
- Directions in activation space associated with contrastive emotive concept pairs studied in this paper as targets for introspection
- Secondary question; paper demonstrates introspection but explicitly avoids pinning down specific mechanistic explanation, noting mechanisms could be shallow and specialized.
- Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.
- The ability of LLMs to monitor and evaluate their own reasoning, closely related to reflection.
- Out-of-context reasoning work directly related to synthetic document fine-tuning experiments
- Internal representations encoding emotion concepts in large language models, identified by probing and SAE methods