Anthropic interpretability team released new work on feature‑based classifiers The team posted a short report describing developing experiments that use dictionary learning features as classifiers. The material is hosted on Anthropic’s research site. It was published on 2024‑10‑16. The post is intended for researchers actively working on interpretability. [1]
The report is framed as preliminary, not a mature paper Authors ask readers to treat the results like a colleague’s brief lab‑meeting presentation rather than a finalized study. They emphasize that the findings are early‑stage and may change with further work. No formal peer review is claimed. [1]
The article links to an external Anthropic research page The link labeled “This article” points to https://www.anthropic.com/research/features-as-classifiers where the full write‑up can be accessed. The page contains the same preliminary content described in the summary. [1]
Publication and caching timestamps are provided The entry shows a publication timestamp of 2024‑10‑16T00:00:00‑0700 and a cache timestamp of 2026‑02‑02T19:40:40+0000, indicating the information was retrieved recently. This suggests the content remains current as of early 2026. [1]
Target audience is researchers in interpretability The notice explicitly states the work may interest researchers actively working in this space, implying a technical readership. It does not aim at a general audience. [1]