Goodfire post looks at logits as a monitor for evaluation awareness

In short

Goodfire, an AI interpretability company, has published a research post titled "Logits as a new monitor for evaluation awareness." The page lists Santiago Aranguri as the author. The text we could capture has no body, so we cannot say what the post found.

What happened

Goodfire's website lists the post under Research, dated June 4, 2026. It is tagged "Applied Research" and "Link post."

The title points to two ideas. Both need explaining.

• Logits are the raw scores a language model produces for each possible next word, before they are turned into a final choice.
• Evaluation awareness means a model noticing that it is being tested rather than used for real work.

The title suggests the post looks at using logits as a way to watch for evaluation awareness. Goodfire's page, as we captured it, does not describe the method, the models tested, or any results. It also does not say whether any testing was done in a training run, an evaluation, a simulation, or real use.

The captured page contains only the title, the author's name, the date, and the site's menus and links to other Goodfire posts. The "Link post" label may mean the post points to material elsewhere. The captured text does not show where.

What was done about it

The source describes no incident, so there was no response to report. It also does not say whether any person or organisation was affected. Nothing in the captured text suggests that anyone was.

Why it matters

The captured page does not say why the work matters, so we will not guess. What we can say is that it does not explain what the logit-based monitor does, how well it works, or what limits it has. Readers who want those details should consult the original report directly. We will update this article if fuller text becomes available.