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Attention

Interactive attention mechanism explorer: compute self-attention QKV matrices step-by-step, visualize multi-head attention weight heatmaps, and understand positional encoding.

Self-AttentionTransformerPositional
OPEN INTERACTIVE LAB ↗

What you'll explore

  • ✓Attention mechanism
  • ✓Transformer visualization
  • ✓Self-attention
  • ✓Multi-head attention
  • ✓Positional encoding
  • ✓Transformer architecture

About this lab

Interactive attention mechanism explorer: compute self-attention QKV matrices step-by-step, visualize multi-head attention weight heatmaps, and understand positional encoding. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Deep Learning Labs track — 8 labs covering the full curriculum.

PLATFORM FEATURES
✓ Runs 100% in browser — no server, no installs
✓ Adjustable parameters with real-time output
✓ Privacy-first: zero data collection or uploads
✓ Blockchain-verifiable experiment logs on Polygon
✓ Free to use — open to everyone