{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Distributed Representations Composition Superposition","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/b1d7ff79-0ada-4069-9de0-471da0173125","json_url":"https://onlylabs.fyi/signals/b1d7ff79-0ada-4069-9de0-471da0173125/signal.json","generated_at":"2026-06-11T04:18:05.407356+00:00","org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/anthropic","dossier_json_url":"https://onlylabs.fyi/labs/anthropic/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b1d7ff79-0ada-4069-9de0-471da0173125","signal_json":"https://onlylabs.fyi/signals/b1d7ff79-0ada-4069-9de0-471da0173125/signal.json","source":"https://www.anthropic.com/research/distributed-representations-composition-superposition","lab_dossier":"https://onlylabs.fyi/labs/anthropic","lab_dossier_json":"https://onlylabs.fyi/labs/anthropic/dossier.json","analysis":"https://onlylabs.fyi/analysis/anthropic","analysis_json":"https://onlylabs.fyi/analysis/anthropic/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/anthropic/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"Anthropic published Distributed Representations Composition Superposition. 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High-signal details: Distributed Representations: Composition & Superposition \\ Anthropic Interpretability Research Distributed Representations: Composition & Superposition May 4, 2023 Read.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.anthropic.com/research/distributed-representations-composition-superposition","source_host":"anthropic.com","occurred_at":"2023-05-04T00:00:00.000Z","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"page.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Anthropic","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"anthropic.com","source":"source"},{"label":"Watch term","value":"Agents and tool 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This talking signal gives public context for research themes, product direction, policy, or launch framing. 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We're often asked how our work on superposition relates to it. Since publishing our original paper on superposition, we've had more time to reflect on the relationship between the topics and discuss it with people, and wanted to expand on our earlier discussion in the related work section and share a few thoughts. (We care a lot about superposition and the structure of distributed representations because decomposing representations into independent components is necessary to escape the curse of dimensionality and understand neural networks.) It seems to us that \"distributed representations\" might be understood as containing two different ideas, which we'll call \"composition\" and \"superposition\". 1 These two different notions of distributed representations have very different properties in terms of generalization and what functions can be linearly computed from them. And while a..."},"evidence_pages":[{"url":"https://www.anthropic.com/research/distributed-representations-composition-superposition","final_url":"https://www.anthropic.com/research/distributed-representations-composition-superposition","title":"Distributed Representations Composition Superposition","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:18:05.407356+00:00","bytes":109811,"raw_path":"15f732eee6936880af6daa57630ad0d96ea0ef8024924eeecad7168eca589d37.html","content_hash":"14e7766901ab9a1ccc536e9223dcf8ac156a4facc2ed96afad8be0052e75ba59","excerpt_chars":1200,"truncated":true,"excerpt":"Distributed Representations: Composition & Superposition \\ Anthropic Interpretability Research Distributed Representations: Composition & Superposition May 4, 2023 Read Paper Abstract Distributed representations are a classic idea in both neuroscience and connectionist approaches to AI. We're often asked how our work on superposition relates to it. Since publishing our original paper on superposition, we've had more time to reflect on the relationship between the topics and discuss it with people, and wanted to expand on our earlier discussion in the related work section and share a few thoughts. (We care a lot about superposition and the structure of distributed representations because decomposing representations into independent components is necessary to escape the curse of dimensionality and understand neural networks.) It seems to us that \"distributed representations\" might be understood as containing two different ideas, which we'll call \"composition\" and \"superposition\". 1 These two different notions of distributed representations have very different properties in terms of generalization and what functions can be linearly computed from them. 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