Biology of LLMs - Part 4

In this meetup, we continue our discussion of Anthropic's "Biology of LLMs". This is part 4 of our deep dive into this fascinating document on how LLMs work. Our goal is to understand how to "reverse engineer how these models work on the inside, so we may better understand them and assess their fitness for purpose". And is based on https://transformer-circuits.pub/2025/attribution-graphs/biology.html

If you missed Part 1 or Part 2 they can be found at: Biology of LLMs - Part 1, Biology of LLMs - Part 2, Biology of LLMs - Part 3

Every week we meet (virtually) and discuss the most interesting topics in AI, ML, and Deep Learning.

We usually rotate weeks so that every other week one of the members presents a deep learning/machine learning paper, frequently paired with a video explaining the concepts. In the off weeks, we present information about different projects. We cover computer vision, language (LLM's), health/hard science, and generative models (Diffusion, GAN's, etc.).

People of all levels of skill are welcome--from newbies to machine learning, to PhD's in DL/ML/AI.

We have been meeting for over 7 years weekly and have developed a neat pace and community--and all are welcome. Come join us and stay abreast of the biggest topics in Artificial Intelligence.