Stacking Transformer Layers
One layer refines meaning once. Stack many, and understanding gets deeper layer by layer.
Why not just one layer?
A single transformer layer improves the tokens once. Real models stack many layers, each one refining the meaning a little more before passing it on. Let's watch that happen.
Slide to add more layers
Move the slider and watch the sentence pass through more transformer layers. Each new layer adds a little more understanding.
Refine again and again
One transformer layer improves the token representations once. Stacking many layers lets the model refine the meaning again and again, so deeper layers can catch more complex relationships.
One layer vs many layers
- • One layer improves the input once.
- • Many layers refine the meaning step by step.
- • Deeper layers can understand more complex relationships.
- • Large language models use many stacked transformer layers.
- • Each layer passes improved representations to the next layer.
Stacking transformer layers lets the model refine meaning step by step. Each layer improves the representation before passing it to the next layer.