MicroGPT in 243 Lines – Demystifying the LLM Black Box
Blog post about someone else's code; not a standalone project.
An interactive visual explainer for Andrej Karpathy's microGPT
Type a name and you can literally watch characters turn into IDs, 16‑dim embeddings get added with positional encodings, and causal attention matrices animate per head — all matched numerically to Karpathy's 244‑line microGPT. The implementation is pure TypeScript (no ML libs) and includes a helpful scrollable sidebar with the reference math, which makes this an excellent, low‑friction learning tool — more pedagogical deep dive than research innovation.
ML students, engineers learning transformers, educators, and curious developers
Decided to Build an interactive visualizer for it to help me understand it better.
Type a name → watch it flow through the tokenizer, embeddings, and attention heads in real time.
Blog post about someone else's code; not a standalone project.
Interactive Karpathy lecture visualizer when static blog posts already explain this.
Canonical piece decomposition visualization makes O(log N) queries actually click.
Visualizes pointer movement in trees for your code, unlike Python Tutor.
Real training tensors visualized interactively, not mockups or static diagrams.
Karpathy's microGPT in the browser with live loss curves, but pedagogical only—no production value.