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“Progress Update #1 from the GDM Mech Interp Team: Summary” by Neel Nanda, Arthur Conmy, lsgos, Senthooran Rajamanoharan, Tom Lieberum, János Kramár, Vikrant Varma


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Crossposted from the AI Alignment Forum. May contain more technical jargon than usual.Introduction.

This is a progress update from the Google DeepMind mechanistic interpretability team, inspired by the Anthropic team's excellent monthly updates! Our goal was to write-up a series of snippets, covering a range of things that we thought would be interesting to the broader community, but didn't yet meet our bar for a paper. This is a mix of promising initial steps on larger investigations, write-ups of small investigations, replications, and negative results.

Our team's two main current goals are to scale sparse autoencoders to larger models, and to do further basic science on SAEs. We expect these snippets to mostly be of interest to other mech interp practitioners, especially those working with SAEs. One exception is our infrastructure snippet, which we think could be useful to mechanistic interpretability researchers more broadly. We present preliminary results [...]



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First published:

April 19th, 2024

Source:

https://www.lesswrong.com/posts/HpAr8k74mW4ivCvCu/progress-update-1-from-the-gdm-mech-interp-team-summary

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Narrated by TYPE III AUDIO.

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