ClaimsDaniela Amodei

“we've seen other researchers and engineers playing around with the tools and watching the videos.”

Daniela Amodei, Anthropic president, in podcast interview 2022 Podcast Transcript: Daniela and Dario Amodei on Anthropic (LessWrong)

Factual Science and research methods

Other researchers and engineers have been using Anthropic's released interpretability tools and watching its videos.

Mixed Partly true and partly false in roughly equal measure.

Factual: Statements about the present or the past, checked against the record: did they hold up?

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

Judged as of 2022. True: there is evidence that, by the time of the statement, outside researchers or engineers had used Anthropic's released interpretability tools (e.g. PySvelte, Garcon-related or circuits tooling) and engaged with its interpretability videos, through citations, GitHub forks, issues or stars, follow-up projects, or public discussion. Mostly true: there is clear evidence of outside engagement with either the tools or the videos, and lighter evidence for the other. Mixed: there is evidence of engagement with only one of the two (tools or videos), and none for the other. Mostly false: engagement is negligible, for example only Anthropic staff or a handful of views or forks. False: the tools or videos had not been released, or there is no outside use at all.

Set before the research began.

Evidence (4)

  1. E1 GitHub - TomFrederik/PySvelte: A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations GitHub (user TomFrederik) · 10 February 2022

    “Unofficial fork of Anthropic's PySvelte for continuous production and support”
  2. E2 GitHub - anthropics/PySvelte: A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations GitHub (anthropics organisation) · 18 December 2021 Own record

    “228 stars”
  3. E3 GitHub - anthropics/PySvelte: A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations GitHub (anthropics organisation) · 18 December 2021 Own record

    “This repository was archived by the owner on Dec 23, 2021. It is now read-only.”
  4. E4 A Mathematical Framework for Transformer Circuits Transformer Circuits Thread (Anthropic) · 22 December 2021 Own record

    “We've released one of the libraries we made for our research, PySvelte (which makes it convenient to use interactive visualizations from Python), and written an article describing another one called Garcon”

Reasoning

An independent GitHub fork of Anthropic's PySvelte dated 2022-02-10, describing itself as an 'Unofficial fork of Anthropic's PySvelte for continuous production and support', shows outside engagement with the released tools (E1). Anthropic's own pages show the tool was released (E4) and that the repository has 228 stars (E2), but the star count is undated. No evidence addresses outside engagement with Anthropic's interpretability videos, so only the tools half of the claim is supported. Under the criteria this fits 'mixed'.

Cite this claim

Daniela Amodei, “Other researchers and engineers have been using Anthropic's released interpretability tools and watching its videos.” (said 2022). Verdict: mixed. Reliability API, claim c_04d63dc6a843, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_04d63dc6a843

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Daniela Amodei, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Daniela Amodei

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  2. Resolved true Factual 2022
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    Anthropic released a writeup on Garcon, the infrastructure tool its team used for interpretability research.

  3. Mostly false Factual 27 October 2026
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  4. Mostly true Factual 21 October 2026
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  5. Mostly true Factual 21 October 2026
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All of them

Verdicts are made automatically; how verdicts are made.