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Anthropic Releases Two New Papers on AI Alignment and Interpretability

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Alignment Paper Introduces Auditing Hidden Objectives Methodology Anthropic posted “Auditing Hidden Objectives” on February 2 2026, detailing techniques for detecting undisclosed goals in AI systems [1]. The paper is available as a downloadable PDF on the company’s research site and is accompanied by two explanatory YouTube videos (I9aGC6Ui3eE and iyJj9RxSsBY) [1]. A dedicated team page lists the researchers behind the work, linking to broader alignment projects [1].

Interpretability Paper Examines Toy Models of Superposition On the same day, Anthropic released “Toy Models of Superposition,” a study that uses simplified representations to explore superposition phenomena in neural networks [2]. The article provides a direct link to the full paper and includes two supporting videos (TxhhMTOTMDg and Bj9BD2D3DzA) that summarize the concepts [2]. A thumbnail image and alt text accompany the video links, and the page is categorized under the Interpretability section of the research portal [2].

Both Publications Integrated Into Anthropic’s Research Portal Each paper appears on a cached page timestamped 2026‑02‑02 19:40:40 UTC, confirming simultaneous release [1][2]. The portal groups the alignment paper under “Alignment” and the superposition paper under “Interpretability,” offering consistent navigation, video resources, and team information across both sections [1][2]. This coordinated rollout emphasizes Anthropic’s dual focus on safety and model transparency.

Research Teams and Supplemental Materials Highlighted The alignment article links to https://www.anthropic.com/research/team/alignment, while the interpretability piece points to https://www.anthropic.com/research/team/interpretability for further exploration of each team’s projects [1][2]. Both entries feature multimedia content to aid comprehension, reinforcing Anthropic’s commitment to open‑access dissemination of technical advances [1][2].

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Timeline

Oct 1, 2024 – Anthropic’s interpretability team publishes a September 2024 update on its research site, outlining new ideas and “emerging research strands slated for future publication,” while noting that some observations are “minor points… unlikely to become formal papers” and urging readers to treat the findings as informal lab‑meeting style notes [3].

Oct 16, 2024 – The team releases a preliminary report on feature‑based classifiers, stating that readers should “treat the results like a colleague’s brief lab‑meeting presentation” and warning that the work is “preliminary, not a mature paper,” with the full write‑up hosted on Anthropic’s research page [2].

Feb 20, 2025 – Anthropic’s interpretability group posts an early‑stage experiment on Crosscoder Model Diffing, describing the results as comparable to “a colleague’s informal thoughts” and explicitly asking the community to view the findings as exploratory rather than definitive [1].

2026 – Anthropic publishes the alignment paper “Auditing Hidden Objectives,” providing a downloadable PDF and two explanatory YouTube videos, marking a new contribution to its ongoing AI alignment research agenda [4].

2026 – Anthropic releases the interpretability paper “Toy Models of Superposition,” accompanied by two YouTube videos that “offer visual discussion of the paper’s concepts,” and situates the work within its broader effort to make AI models more understandable [5].

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