{
  "url": "https://appliedfrontier.nl/en/research/signal-9cb7d97950332cc6/",
  "title": "A mathematical framework for Transformer Circuits",
  "published": "2021-12-22",
  "excerpt": "Reverse-engineering small attention-only transformers reveals how induction heads form via head composition.",
  "content_sha256": "ab5ba03cc21cb1c780181e7dab8e429b3428c4435081570c8ee96df5ed7d643f",
  "extracted_chars": 187,
  "artifact_links": [],
  "id": "signal-9cb7d97950332cc6",
  "org": "Anthropic",
  "topic": "Complexity theory",
  "source_kind": "provider_announcement",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_metadata_triage_v1",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "mathematical"
  ],
  "checked_at": "2026-10-31T19:17:03+00:00",
  "first_seen": "2026-10-29T21:51:54+00:00",
  "source_hash": "d2e0d3cf98d7baf573be17e09fefffc4a5cb3260456b27a44a1504fbed1f09e5",
  "source_url": "https://www.anthropic.com/research/a-mathematical-framework-for-transformer-circuits",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}