The Transformer: The Life of a Token
The article follows the journey of a single token through the Transformer architecture, explaining how it is embedded, passed through multi-head self-attention and feed-forward layers, and ultimately decoded into an output. It provides an intuitive, step-by-step breakdown of each key component, including positional encoding, attention mechanisms, and layer normalization.