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question:how-does-llama-3-1-8b-reason-over-cyclic-conceptsHow does Llama-3.1-8B reason over cyclic concepts?
The empirical question the paper addresses through mechanistic investigation
Source paper
extracted_from(2026) · Sheridan Feucht · Tal Haklay · Usha Bhalla · Daniel Wurgaft +8
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Findings (1)
finding
- The complete mechanistic algorithm discovered for cyclic concept reasoning
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.
- Predictive hypothesis about domain-generality of the identified mechanism
- Llama-3.1-8B uses base-10 addition rather than modular addition to compute cyclic concept sumsfinding0.830The central empirical finding that computation does not mirror the circular representational structure
- The representation geometry finding that motivates the question about whether computation mirrors it
- Key mechanistic finding showing task-agnostic reuse of arithmetic circuitry
- The specific computational question the paper resolves empirically
- Llama-3.3-70B exhibits internal consistency-checking mechanisms that operate during inferenceclaim0.783Central interpretive claim of the paper supported by causal ablation and activation evidence
- The specific Fourier feature periods identified confirm base-10 rather than modular computation
- Core empirical result demonstrating that manifold steering produces on-target, behavior-aligned outputs.