Presented By: Math for AI Safety Seminar
Math for AI Safety: Toy Models of Superposition
This semester, our reading group will focus on Interpretability Theory.
For this week, we are reading Toy Models of Superposition, Sections 1, 2, 3(optional), 4, and 8.
https://transformer-circuits.pub/2022/toy_model/index.html
The paper studies how neural networks can represent more features than they have dimensions by storing multiple features in overlapping directions — a phenomenon called superposition. This has a number of implications. In particular, there is a trade off between the benefit of representing more concepts and interference between features. This seminar will start with a 10 minute summary lecture followed by group discussions.
For this week, we are reading Toy Models of Superposition, Sections 1, 2, 3(optional), 4, and 8.
https://transformer-circuits.pub/2022/toy_model/index.html
The paper studies how neural networks can represent more features than they have dimensions by storing multiple features in overlapping directions — a phenomenon called superposition. This has a number of implications. In particular, there is a trade off between the benefit of representing more concepts and interference between features. This seminar will start with a 10 minute summary lecture followed by group discussions.