Interactive Minimal Transformer With Editable Weights Runs in Browser

A browser-based transformer implementation uses a 6-word vocabulary and 3-dimensional embeddings to make every matrix value visible and editable, with all downstream computations updating live. It covers the full forward pass including Q/K/V attention, causal masking, softmax, FFN, and logits in a single-head, single-block architecture.