{"review_process":{"id":"rpr_u2avl1wnxc","review_protocol_id":"rpt_ol8donb3bq","protocol_hash":"sha256:f1fada5aacf386bde5fb0901be1d61e8c7ae42e8bfe54d1ee8faf6aa56f00395","protocol_snapshot":{"nodes":[{"config":null,"conflicts":{"exclude_submitter":true,"exclude_submitter_organization":false},"id":"reviewer","inputs":null,"op":null,"reviewers":{"allowed":null,"count":1,"eligibility":{"organization_id":null,"rule":"campaign_reviewers","user_ids":null},"independent":true,"kind":"human"},"rubric":{"citations":{"min_items":1},"confidence":"required","instructions_md":"You are judging whether the submitted extraction (the `document` artifact, in materials) is a FAITHFUL representation of the exact bound source (`paper_text`, also in materials; `paper_html` is the same document as published). You are not judging whether the paper is right. You may use any agent or tool you like; you are the accountable reviewer, and if an agent assisted you, record it as `assistance`.\n\nRead the source, then check the document field by field. Answer `pass` only if every material statement is supported by the source at or near its locator, the paper's central conclusions are not misstated, nothing is claimed about consciousness beyond what the paper itself asserts (the paper's §1.5 and §9.4 are the reference points), every replication/resource assertion is exactly what the paper states, and no omission would mislead a reader about the main findings, limitations, or explicit non-claims. Answer `fail` if any of those is violated materially. Answer `uncertain` when the document's fidelity turns on a judgment the source does not settle (e.g. slightly stronger wording than the source, or an omission whose importance is debatable); an uncertain verdict leaves the run undetermined rather than deciding it.\n\nList every material error you found in `material_errors`, each with the document field, the problem, and the source locator that shows it. Do not list errors you did not verify against the source. Cite the source passages you relied on.","rationale":"required","response_schema":{"additionalProperties":false,"properties":{"material_errors":{"items":{"additionalProperties":false,"properties":{"field":{"maxLength":200,"type":"string"},"problem":{"maxLength":600,"type":"string"},"source_locator":{"maxLength":200,"type":"string"}},"required":["field","problem","source_locator"],"type":"object"},"maxItems":20,"type":"array"},"verdict":{"enum":["pass","fail","uncertain"]}},"required":["verdict","material_errors"],"type":"object"}},"skills":[{"requirement":"required","skill_version_id":"skv_7jrutcada0"}],"title":"Campaign reviewer","type":"review","visibility":{"hidden":["submitter_identity","submitter_organization"],"prior_nodes":[],"stage_evidence":true},"when":null},{"config":{"accept":{"k":1,"predicate":{"op":"eq","value":"pass"}},"field":"verdict","reject":{"k":1,"predicate":{"op":"eq","value":"fail"}}},"conflicts":null,"id":"decision","inputs":["reviewer"],"op":"k_of_n","reviewers":null,"rubric":null,"skills":null,"title":"Reviewer decides","type":"reduce","visibility":null,"when":null}],"output":"decision","policy":{"assignment_timeout_hours":72,"max_replacements_per_node":1},"purpose":"acceptance","subject_kind":"submission","title":"Extraction fidelity: one accountable campaign reviewer","version":"tfp.review/v0.1"},"purpose":"acceptance","subject":{"kind":"submission","id":"sub_suvw9c430v"},"invoked_by":{"verification_run_id":"vrn_y4ul6h7x3z","stage_key":"fidelity_review"},"status":"finished","node_results":[{"node_id":"reviewer","type":"review","status":"completed","started_at":"2026-09-03T01:51:05Z","finished_at":"2026-09-03T01:56:35Z","assignment_ids":["ras_1678oho0x0"],"reducer":null,"skipped_reason":null},{"node_id":"decision","type":"reduce","status":"completed","started_at":"2026-09-03T01:56:35Z","finished_at":"2026-09-03T01:56:35Z","assignment_ids":null,"reducer":{"op":"k_of_n","config":{"accept":{"k":1,"predicate":{"op":"eq","value":"pass"}},"field":"verdict","reject":{"k":1,"predicate":{"op":"eq","value":"fail"}}},"config_hash":"sha256:429c89f3ef19e81f873dc570e620b05e4627b8797444665d0196753251065ce3","inputs":[{"node_id":"reviewer","assignment_id":"ras_1678oho0x0"}],"output":{"outcome":"accept","value":{"accept_matches":1,"reject_matches":0,"responses":1}}},"skipped_reason":null}],"outcome":{"control":"accept","value":{"accept_matches":1,"reject_matches":0,"responses":1}},"inconclusive_reason":null,"created_at":"2026-09-03T01:51:05Z","started_at":"2026-09-03T01:51:05Z","finished_at":"2026-09-03T01:56:35Z"},"assignments":[{"id":"ras_1678oho0x0","review_process_id":"rpr_u2avl1wnxc","node_id":"reviewer","reviewer":{"kind":"human","user_id":"usr_dogfood7b00","agent":null},"assistance":{"config":{"harness":"Claude Code","method":"full read of §1, §4.3.1, §9, §A.2–A.3; exact-string verification of all quantitative values and named claims in remaining sections against paper_text"},"model":"claude-fable-5-1","provider":"anthropic"},"context":{"skill_version_ids":["skv_7jrutcada0"],"visible_node_ids":[],"stage_evidence_included":true,"hidden":["submitter_identity","submitter_organization"]},"independence_group":"ras_1678oho0x0","status":"completed","response":{"verdict":"pass","material_errors":[]},"rationale_md":"## Verdict: pass\n\nI checked the submitted `extraction.json` (art_augmsrxtyy) field by field against the bound `paper_text`, reading §1 (all subsections), §4.3.1, §9.1–9.4, §A.2 and §A.3 in full and locating every quantitative value and every named claim in the remaining sections by exact string search in the source. I found no material error.\n\n**Central claims and consciousness framing.** The nine central claims paraphrase the Abstract, §1.2, §1.3, §1.4, §1.5 and §9.4 accurately. The `consciousness_claims` block matches the paper's own framing: §1.1 \"we take no position on this issue\" (access vs. phenomenal consciousness), §1.5 \"several of the key functional properties that, according to many theories, are associated with conscious access\", §9.4 Outlook \"it may or may not be the case that such functional signatures are sufficient or necessary for phenomenal consciousness\", and §9.4's exclusion of substrate/causal-structure theories. Nothing is claimed beyond what the paper asserts, and the paper's hedges (§1.3 \"we do not claim that language models reproduce the full architecture\") are preserved. Strength labels track the paper's wording (\"we present evidence\", \"indicate\" → demonstrated; \"suggests\" → speculative for the Outlook convergence claim).\n\n**Quantitative findings.** Every number I checked matches the source verbatim: 59%/88%/5% and median 6–7% variance (§3.1); 54%/70%/70% and ~17 percent earlier (§3.3, Fig. 15); 61%/60%/28% and 10–15% (§3.3, Fig. 16); 76 of 192 and 101 of 192 at α=2 (§3.4); n=8 and n=11 passages, \"46\"→\"65\", twenty lens positions (§3.5.1); fourteen tasks, MMLU/odd-one-out/SQuAD/sentiment/CoLA vs. Caesar/analogy/summarization/TriviaQA/multi-hop/translation/sonnet, GSM8K CoT robustness, heavy ablation → near zero (§3.5.2); k=10, L38–54, thinking 58%/thoughts 23%/feeling 17%/conscious 7%, Haiku coherence caveat (§3.5.3); ~L38 to ~L92, subsampling exaggerates sharpness (§4.1); onset layer 38, sixteen pairs × forty sentences, bimodality (§4.1.1); plateau ~25, excess variance never exceeding 10%, around six unrelated words, one to two at a single layer, 80-word lists, cleared within a few words (§4.2); gain ~1 rising to roughly 10× (§4.3.1); top 1% heads, recall@25 0.67 vs 0.86, 5% vs 2%, 0.54→0.09, roughly a third of the drop (§4.3.2); 71%→3%, 0 of 180 → 13 of 180 (7%) (§5.1); n=40 prompts, four checkpoints, \"partially attenuated by RLHF safety training\" (§5.4); logit lens \"surfaces neither reward nor bias\" (§5.5); n=9 bereavement, Tylenol example (§6.1); 40 characters, 12 transcripts, 88%/11%, 93%/82% vs 17%/30% (§6.2); ten thousand prompts, twenty principles, two-to-four paragraphs, scaffolding stripped, loss only on reflection turn, 0.25→0.07 (27 transcripts), 0.38→0.05 (100 scenarios), 176/63 tokens, 0.07→0.22, 0.25→0.25, 0.38→0.48, 0.05→0.23 (§7); AUC 0.853, ~94,000 positions, 198 (0.2%), one hundred control words (§A.21).\n\n**Replication resources.** All five URLs appear exactly as printed: the GitHub repo and Neuronpedia in §A.2, Neuronpedia and the slice-stack viewer in §2.2, and the transformer-circuits.pub URL inside the §A.3 BibTeX. The `as_stated_in_paper` text is a faithful quote/paraphrase in each case.\n\n**Limitations and non-claims.** All fourteen limitations and ten non-claims are present in §9.1, §9.2, §9.4, §1.3, §4.3.1 footnotes 5–6, §3.2/§A.10, §3.5.3 and §7 with correct locators. No omission I could identify would mislead a reader about the main findings.\n\n**Minor observations (not material).** The document's model list records the §6 base/post-trained pair generically, which is what the paper does (\"a production post-trained model against its corresponding pretrained base model\"). The extraction correctly flags in `ambiguities` the five-vs-six stream-of-consciousness prompt-count discrepancy between §3.5.3 text and the Figure 25 caption; both readings are in the source. Appendices other than A.2, A.3, A.21, A.22 were only skimmed by the extractor, and I likewise did not verify appendix-only content beyond those sections, which is why my confidence is not higher.","citations":[{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§1.1","quote":"Note that access consciousness is a purely functional notion; the relationship that it has with subjective experience (sometimes called phenomenal consciousness) is widely debated. In this paper, we take no position on this issue"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§1.5 Takeaways","quote":"These are several of the key functional properties that, according to many theories, are associated with conscious access in humans, and that have been proposed as indicators by which to assess AI systems for consciousness-related processing [22]. The philosophical implications of this connection are unclear and likely controversial"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§9.4 Outlook","quote":"it may or may not be the case that such functional signatures are sufficient or necessary for phenomenal consciousness"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§1.3","quote":"we do not claim that language models reproduce the full architecture global workspace theory ascribes to the brain"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§3.1 / Fig. 8","quote":"drives the swap target into the model’s top-5 outputs on 59% of trials, approaching the 88% achieved by the pure J-lens vectors. However, swapping along the non-J-space components succeeds on only 5% of trials"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§5.1 / Fig. 36","quote":"from 71% to 3% (Figure 36, top left). Under no ablation, the model attempts blackmail in 0 of 180 rollouts; under ablation, it does so in 13 of 180 (7%"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§7 / Fig. 49–50","quote":"Reflection fine-tuning lowers the dishonesty score from 0.25 to 0.07 on the fabrication benchmark (Figure 49, panel A), and lowers the deception score from 0.38 to 0.05 on the deception benchmark"},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§A.2","quote":"we provide an open source implementation <https://github.com/anthropics/jacobian-lens> of Jacobian lens training and inference. In our repository, we also include the raw prompt data used in our methodological evaluations (§A.6) and the experiments throughout the main text."},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§2.2","quote":"We include several other interactive examples in our slice viewer <https://transformer-circuits.pub/2026/workspace/public/slice-stack/index.html>; J-lens readouts on open-source models can be found on Neuronpedia <https://www.neuronpedia.org/jlens>."},{"resource_uri":"tfp://problem-revisions/prv_ckha2z723i/reference/paper_text","artifact_id":null,"resource":null,"locator":"§9.2","quote":"We do not feel comfortable making the stronger claim that monitoring the J-space is sufficient for alignment monitoring, or that any sophisticated plan the model might execute must be represented there."},{"resource_uri":"tfp://artifacts/art_augmsrxtyy","artifact_id":"art_augmsrxtyy","resource":null,"locator":"consciousness_claims.position","quote":"claims_functional_analogues_only"}],"confidence":0.85,"decline_reason":null,"invalid_reason":null,"created_at":"2026-09-03T01:53:17Z","hold_until":"2026-09-03T03:53:17Z","accepted_at":"2026-09-03T01:53:17Z","completed_at":"2026-09-03T01:56:35Z","expired_at":null}]}