Generating and Visualizing Context Vectors in Transformers

This post is divided into three parts; they are: • Understanding Context Vectors • Visualizing Context Vectors from Different Layers • Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words.

source https://machinelearningmastery.com/generating-and-visualizing-context-vectors-in-transformers/