LLMs vs Leetcode (Part 1 & 2): Understanding Transformers' Solutions to Algorithmic Problems
Too Long; Didn't Read
This article series delves into Transformer models' interpretability, investigating how they learn algorithms by tackling the Valid Parentheses problem. It covers data generation, model training, and promises an in-depth look at attention patterns and mechanistic understanding in Part 3.