Block Components
Dynamic selection mechanism
Knowledge storage and processing
Stabilizes training
Information highways for deep networks
Number of Layers
GPT-3 has 96 layers! More layers = more capacity for complex understanding.
Information Flow Demo
See how information flows through the transformer block
Component Effects
- All components active - full transformer power
Transformer Block Architecture
Single Block
Layer Stack
Architecture Insights
- Residual Connections: Allow information to bypass transformations
- Layer Normalization: Keeps values in a stable range
- Parallel Processing: Attention and FFN work on normalized inputs
- Stacking Power: Each layer refines the representation
- Identical Blocks: Same architecture, different learned weights