Media Summary: Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. This is a talk I gave to my MATS 9.0 training program on ... This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ... One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...
What Happened With Sparse Autoencoders - Detailed Analysis & Overview
Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. This is a talk I gave to my MATS 9.0 training program on ... This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ... One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ... A visual explanation of how transformers piece concepts together, told in the style of 3Blue1Brown. Introducing SAEs. What truly ... In this video, we dive deep into the world of I made a video about one of my favorite papers! I hope you enjoy :) ===Summary=== "Applying
In this AI Research Roundup episode, Alex discusses the paper: 'Sanity Checks for
![Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]](https://i.ytimg.com/vi/HPLIl9ZOpUQ/mqdefault.jpg)
