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Are self-attention scores and attention weights symmetric?

Answered from Simplified self attention | The attention family series - Lecture 5 · The attention family · 2026-09-16

Sreedath Panat shows that in simplified self-attention the raw scores are symmetric: omega 1 2 equals omega 2 1, because the dot product of x1 and x2 is the same in either order, and both are divided by the same square root of d. The attention weights are not guaranteed to be symmetric. Each weight comes from a row-wise softmax that depends on all the other scores in that row, so alpha 1 2 generally differs from alpha 2 1.

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▸More from this episode

Q1How does simplified self-attention compute context vectors without trainable weights, according to Vizuara?Q2What is the matrix formula for simplified self-attention, and how does it relate to Attention Is All You Need?Q3What is the difference between self-attention and Bahdanau attention?Q4Why does a word need a context vector instead of its embedding, according to Vizuara?Q5Why doesn't a token always get its highest attention score against itself?Q6Why does self-attention use softmax instead of dividing attention scores by their sum?
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