finding
active
finding:claude-opus-4-1-and-4-detect-injected-thoughts-on-20-of-trials-at-optimal-layer-and-injection-strength-2Claude Opus 4.1 and 4 detect injected thoughts on ~20% of trials at optimal layer and injection strength 2
In the injected thoughts experiment, Opus 4.1 succeeds about 20% of the time.
Source paper
extracted_from(2026) · Lindsey, Jack
Neighborhood — ranked by edge-count
Claims (1)
claim
- Modern language models possess at least a limited, functional form of introspective awarenesssupportsThe paper's central interpretive assertion.
Communities (3)
community
- Spans attention head decomposition, benchmark awareness, and genomic pathogenicity prediction via neural models.
- Probing Claude and other models for internal detection of artificially injected thoughts across layers.
- Mechanistic interpretability studies of Claude models using layer-wise representation analysis and thought injection to reveal unverbalized reasoning, planning, and covert cognition.
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.
- Opus 4.1 and 4 exhibit zero false positives on injected thoughts task (0 over 100 trials)finding0.860Production Opus 4.1/4 never falsely claim an injected thought when none is present.
- Claude Opus 4.1 and 4 show greatest reduction in apology rate in the prefill detection taskfinding0.831Injecting a concept matching the prefilled word reduces the rate at which the model apologizes, maximally for Opus models.
- Claude Opus 4 and 4.1 exhibit the greatest degree of introspective awareness among tested modelsclaim0.825Based on consistent best performance across experiments.
- The optimal layer for the prefill introspection differs from the optimal layer for detecting injected thoughts.
- Introspective awareness peaks at a layer about two-thirds through Opus 4.1 for injected thoughtsfinding0.801The success rate shows a sharp peak at a specific middle layer.
- Outlier result for Claude 4 Opus suggesting different baseline behavior from other models
- Suggests that later models can keep the thought 'silent' rather than letting it influence output.
- On a variant of the injected thoughts prompt allowing the model to mention a concept regardless, detection rate was 18%.