  Transformers play a central role in the inner workings of large language
models. We develop a mathematical framework for analyzing Transformers based on
their interpretation as interacting particle systems, which reveals that
clusters emerge in long time. Our study explores the underlying theory and
offers new perspectives for mathematicians as well as computer scientists.
