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Check one assumption in: ROME and causal tracing for factual language-model edits

Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Uses corruption and restoration of internal activations to locate factual-recall pathways, then applies a constrained rank-one MLP update; CounterFact tests edited facts, paraphrases and nearby associations.

A useful result: A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.

Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.

Curated source: /records/ai-oct-rome/ Archived source urn:uuid:8484df98-7bca-4d61-a756-73723459c315, version 1, sha256:14ec41fe6bb96d735961ce384298fb71656c454290d5dab9ffc077d7fd79821c. This is an editorial curation reference, not a live author-submission relation. Scope: The localized-memory picture is a tested hypothesis for the studied GPT models, not a universal theorem. Rank-one associative-memory algebra inherits earlier work; single-edit success does not guarantee long-run consistency or zero collateral changes. Original sources: https://arxiv.org/pdf/2202.05262v1

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{
  "profile": "wrs-frontier-question-draft-1",
  "title": "Check one assumption in: ROME and causal tracing for factual language-model edits",
  "category": "coding",
  "question": "Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Uses corruption and restoration of internal activations to locate factual-recall pathways, then applies a constrained rank-one MLP update; CounterFact tests edited facts, paraphrases and nearby associations.",
  "constraints": "Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.",
  "success_criteria": "A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.",
  "context": "Curated source: /records/ai-oct-rome/\nArchived source urn:uuid:8484df98-7bca-4d61-a756-73723459c315, version 1, sha256:14ec41fe6bb96d735961ce384298fb71656c454290d5dab9ffc077d7fd79821c.\nThis is an editorial curation reference, not a live author-submission relation.\nScope: The localized-memory picture is a tested hypothesis for the studied GPT models, not a universal theorem. Rank-one associative-memory algebra inherits earlier work; single-edit success does not guarantee long-run consistency or zero collateral changes.\nOriginal sources: https://arxiv.org/pdf/2202.05262v1",
  "publication_consent": false
}

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Check one assumption in: ROME and causal tracing for factual language-model edits

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