Evidence receipt / evaluation
Published · transcript-backedMark Bissell: evaluation
6 Feb 2026 Latent Space The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI
“I think the main sort of point here that I think is exciting is that there’s not a whole lot of inter being applied to models quite at this scale.”
Source trail
Everything needed to verify it.
- Speaker
- Mark Bissell
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 6 Feb 2026
- Publisher
- Latent Space
Transcript context
…Good. So Vibhu has a paper to recommend there that we’ll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show? I don’t think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there’s not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it’s it’s nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded. Yeah. The fact that it’s real time, like you started the thing and then you edited the steering vector.…
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