One Sublayer, Then the Reset

One position's vector is passing through the first of a transformer block's two add & norm steps. The block's width is a toy $d = 4$.

Layer normalization here is

$\text{norm}(v)_i = \frac{v_i - \mu}{\sigma}, \qquad \mu = \frac{1}{4}\sum_{j} v_j, \qquad \sigma = \sqrt{\frac{1}{4}\sum_{j} (v_j - \mu)^2}$

with the mean and the spread taken across the four slots of the one vector (dividing by $4$). This layer's two learned numbers are a scale $\gamma = 3$ and a shift $\beta = 1$.

Which vector leaves this add & norm step?