A transformer block is a wiring pattern. This lesson shows the components, the order in which data moves through them, and which nodes are exact versus named.
highlighted = computed this step
Stacking the pieces
A transformer block wires attention and an MLP together with residual connections and normalization. The flowchart shows which component feeds which, and each node is flagged exact or named so the reader can see where arithmetic stays pinned and where a boundary is only named.
input→attention→MLP→output
The block order
The validated order is input, positional encoding, attention, residual add, layernorm, MLP-ReLU, residual add, layernorm, output. This lesson is about the wiring spine: the path through the block before any large-scale model claim enters.
wiring order is validated
Summary
This lesson is about wiring, not hidden arithmetic. Exact nodes and named-boundary nodes are flagged before any lesson uses the residual example, so the structure itself is the first visible source.