ATTENTION · TRANSFORMER SIMULATION

▸ Cutting the sentence into tokens & loading the vocabulary…
▸ Looking up an embedding for each token
▸ Producing Query · Key · Value for self-attention
▸ Computing softmax(Q·Kᵀ/√d) weights · multiple heads
▸ Calibrating temperature & the next-token sampler…
▸ Ready — Online. ✅
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⌂ Mind & Machine

Simulation room Attention & Transformer

Attention & LLM
Online
token · softmax · word prediction
Model state
💬 Attention & word prediction
Tokens—
Query token—
Next guess—
Top probability—
Temperature T—
Attention heads—
Notes
An LLM like ChatGPT reads a sentence as tokens, each token ‘attends’ to others to understand context, then predicts the next token by probability. This is a simplified intuition of attention — not the full architecture.
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Pick a ‘Scenario’ to change the view (attention links · matrix · multi-head · text generation · temperature · long-range context) · drag Temperature to see the distribution sharpen/flatten · click a concept for details
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Top-token probability & temperature over time top probabilitytemperature T
About Attention / LLM

Attention / LLM is one of 20 topics in the Mind & Machine domain (bit → AI scale) at My Labs — an interactive simulation atlas. This virtual lab runs right in your browser: adjust the parameters, pick a scenario and watch the phenomenon change in real time, with a click-to-inspect cross-section for every structure.

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