{"release":{"schemaVersion":"maha-epistemic-release/1.0","releaseId":"epirelease_766f03e214444d6bb06ebcf49b38dddd","releaseKind":"initial","status":"active","recordId":"urn:maha:record:mechanistic-interpretability-neural-feature-superposition","domainSlug":"mechanistic-interpretability","targetSha256":"sha256:05a72058cb2682388462fcf950bdd95334b41c6ad0869a5e0f457d3c505eacea","canonicalPath":"/knowledge/mechanistic-interpretability/concepts/mechanistic-interpretability-neural-feature-superposition","canonicalVersion":"1.0.0","supersedesReleaseId":null,"approvals":[{"scope":"boundary-adequacy","reviewId":"epireview_17860556acb5462189f555e34d18a16d","reviewSha256":"sha256:e1ac5eb3050bb94ab097aa901b465f00346a60fc9c98c50d087b52900f76fad5","reviewedAt":"2026-08-25T09:34:37.298Z","reviewerKind":"internal-editorial","reviewMethod":"Deterministic exact-hash checks, public source-resolution evidence, source-to-claim audit, unsupported-inference audit, and AI-assisted internal editorial inspection. No external reviewer participated."},{"scope":"domain-fidelity","reviewId":"epireview_601ca7403f564f2e83ac075e8e8e1d5e","reviewSha256":"sha256:7d6586ed0324b4eebc8026078c5928ecd949837b94e76a4d419c31f8aa5d8c15","reviewedAt":"2026-08-25T09:34:37.148Z","reviewerKind":"internal-editorial","reviewMethod":"Deterministic exact-hash checks, public source-resolution evidence, source-to-claim audit, unsupported-inference audit, and AI-assisted internal editorial inspection. No external reviewer participated."},{"scope":"rights-and-locator","reviewId":"epireview_dc22a8bf6de44dc9b6af50d344de8976","reviewSha256":"sha256:6bf686945620ac1072c6336fe4fa616440562283de65d63e360aa63c0ca428af","reviewedAt":"2026-08-25T09:34:37.359Z","reviewerKind":"internal-editorial","reviewMethod":"Deterministic exact-hash checks, public source-resolution evidence, source-to-claim audit, unsupported-inference audit, and AI-assisted internal editorial inspection. No external reviewer participated."},{"scope":"source-fidelity","reviewId":"epireview_c4c2edccbd2d4a27a31fe17af0cc8234","reviewSha256":"sha256:4abd6958266cd64ae5bcab45b34dca4d711e6ce5845da7fe0458f44dd8397109","reviewedAt":"2026-08-25T09:34:36.399Z","reviewerKind":"internal-editorial","reviewMethod":"Deterministic exact-hash checks, public source-resolution evidence, source-to-claim audit, unsupported-inference audit, and AI-assisted internal editorial inspection. No external reviewer participated."}],"assuranceTier":"internally-reviewed-canonical","releaseAuthority":{"authoritySha256":"sha256:38616eafd13c4ad603a3a3a9e445f3862fb29b54385aa571c197a2923e302785","attribution":"withheld-by-consent"},"publicChangeSummary":"Initial canonical publication in the eight-domain internal-review throughput canary.","recordSha256":"sha256:e6cc01ac1e7583e26f9ccc1aa521459f050f2b92c08b21e1095f6fa4543754c5","gateDecision":{"reasons":[],"recordId":"urn:maha:record:mechanistic-interpretability-neural-feature-superposition","publicEligible":true,"evaluatedAgainst":"maha-epistemic/1.0"},"releasedAt":"2026-08-25T09:35:30.875Z","releaseSha256":"sha256:92dcc97942aa322896c12e1c3bb15070eb28995d5eb9879bec68d031caacc01d","withdrawal":null},"provenance":{"schemaVersion":"maha-epistemic/1.0","evidencePolicyVersion":"mps/0.1","recordId":"urn:maha:record:mechanistic-interpretability-neural-feature-superposition","canonicalPath":"/knowledge/mechanistic-interpretability/concepts/mechanistic-interpretability-neural-feature-superposition","contentHash":"sha256:e6cc01ac1e7583e26f9ccc1aa521459f050f2b92c08b21e1095f6fa4543754c5","generatedAt":"2026-08-25T09:35:30.875Z","publicationDecision":{"recordId":"urn:maha:record:mechanistic-interpretability-neural-feature-superposition","publicEligible":true,"evaluatedAgainst":"maha-epistemic/1.0","reasons":[]},"claims":[{"id":"urn:maha:claim:mechanistic-interpretability-neural-feature-superposition","scope":"Limited to Definitions, toy models, geometry, sparsity, and feature-interference experiments. in “Toy Models of Superposition”; this candidate records the concept boundary and does not pool results from uncited systems or studies.","boundary":"Neural feature superposition does not by itself establish system-level performance, safety, manufacturability, scalability, economic advantage, clinical benefit, or deployment readiness.","claimKind":"theoretical-model","sourceIds":["source-mechanistic-interpretability-superposition"],"statement":"The cited source supports treating neural feature superposition as a distinct concept within the stated mechanistic interpretability scope.","replication":{"asOfDate":"2026-08-24","assessment":"Independent replication and cross-platform transfer have not been compiled for this candidate; the evidence maturity refers only to the bounded source contract.","independentReplicationCount":null},"uncertainty":{"kind":"qualitative","statement":"No cross-source quantitative interval is asserted. Definitions, operating conditions, samples, instruments, and outcome measures must be checked against the exact cited locator during review."},"evidenceMaturity":"single-study"}],"sources":[{"id":"source-mechanistic-interpretability-superposition","url":"https://transformer-circuits.pub/2022/toy_model/index.html","title":"Toy Models of Superposition","rights":{"note":"The candidate uses original boundary language and a short paraphrase linked to the cited source. No source passage, figure, or table is reproduced.","basis":"citation-with-paraphrase","quotationUsed":false},"authors":["Nelson Elhage","Tristan Hume","Catherine Olsson","et al."],"boundary":"A toy-model mechanism does not establish that every feature in a production model has the same geometry or semantics.","publisher":"Transformer Circuits Thread","establishes":"The work develops toy models in which neural networks represent more features than available dimensions under specified sparsity conditions.","identifiers":[{"value":"https://transformer-circuits.pub/2022/toy_model/index.html","scheme":"url"}],"publishedAt":"2022-09-14","exactLocator":"Definitions, toy models, geometry, sparsity, and feature-interference experiments."}],"reviewEvents":[{"reviewId":"epireview_c4c2edccbd2d4a27a31fe17af0cc8234","scope":"source-fidelity","targetSha256":"sha256:05a72058cb2682388462fcf950bdd95334b41c6ad0869a5e0f457d3c505eacea","reviewedAt":"2026-08-25T09:34:36.399Z","verdict":"approve","supersedesReviewId":null},{"reviewId":"epireview_601ca7403f564f2e83ac075e8e8e1d5e","scope":"domain-fidelity","targetSha256":"sha256:05a72058cb2682388462fcf950bdd95334b41c6ad0869a5e0f457d3c505eacea","reviewedAt":"2026-08-25T09:34:37.148Z","verdict":"approve","supersedesReviewId":null},{"reviewId":"epireview_17860556acb5462189f555e34d18a16d","scope":"boundary-adequacy","targetSha256":"sha256:05a72058cb2682388462fcf950bdd95334b41c6ad0869a5e0f457d3c505eacea","reviewedAt":"2026-08-25T09:34:37.298Z","verdict":"approve","supersedesReviewId":null},{"reviewId":"epireview_dc22a8bf6de44dc9b6af50d344de8976","scope":"rights-and-locator","targetSha256":"sha256:05a72058cb2682388462fcf950bdd95334b41c6ad0869a5e0f457d3c505eacea","reviewedAt":"2026-08-25T09:34:37.359Z","verdict":"approve","supersedesReviewId":null}]},"privacyBoundary":"Operational actor fingerprints, bearer credentials, private reviewer profiles, affiliations, conflicts, and non-consented authority identity fields are excluded."}