Softmax is the named boundary in this book. The single-entry row pins to one, while multi-entry rows are shown as named exponential expressions, never as computed decimals.
highlighted = computed this step
Softmax is the named boundary
Softmax turns an unmasked score row into weights using exponentials. The scores and mask are exact, but the exponential normalization is named instead of decimalized. This book shows the structure of the weights without claiming a computed probability value for a multi-entry row.
softmax(s)i=∑jesjesi
The one exact softmax row
Row 1 has one unmasked score, so its only weight is exactly 1. Row 2 is named as e^0 over e^0 plus e^1, and e^1 over the same denominator. The symbols are the value; no rounded softmax weight is inserted.
row 1:1,row 2:e0+e1e0,e0+e1e1
Summary
Softmax is the named boundary of this book. The diagram renders its algebraic structure and rejects any float weight, while preserving the exact score and mask sources.