Unpacking the multilayer perceptrons in a transformer, and how they may store facts
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AI Alignment forum post from the Deepmind researchers referenced at the video's start:
https://www.alignmentforum.org/posts/iGuwZTHWb6DFY3sKB/fact-finding-att…
Anthropic posts about superposition referenced near the end:
https://transformer-circuits.pub/2022/toy_model/index.html
https://transformer-circuits.pub/2023/monosemantic-features
Sections:
0:00 - Where facts in LLMs live
2:15 - Quick refresher on transformers
4:39 - Assumptions for our toy example
6:07 - Inside a multilayer perceptron
15:38 - Counting parameters
17:04 - Superposition
21:37 - Up next
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https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/
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https://github.com/3b1b/videos/
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https://www.vincentrubinetti.com
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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