Transformer Stability Parts Quick Reference
Recall the purpose of common transformer support mechanisms.
What does a causal mask do in a decoder? It prevents each position from attending to future positions, preserving next-token training and generation behavior. The model can use past context, not future answer tokens. Causal mask versus positional signal One controls visibility; the other provides sequence structure. Why do residual connections matter in transformer blocks? They let sublayers add changes to an existing representation stream, helping information and gradients flow through deep stacks. Residuals make deep transformation easier to train and preserve useful earlier signals. Objection: layer norm is just cosmetic scaling. Layer norm is just cosmetic scaling. Precise reply…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in