Walk through one forward pass of a decoder-only Transformer

Walk me through what happens, step by step, in one forward pass of a decoder-only Transformer.

Use tensor shapes for batch size $B$, sequence length $T$, model width , heads and vocabulary size . Then explain how generation differs from a training forward pass.