The Update the Limiter Allowed

A three-parameter model is mid-training. This batch produces the gradient

$\nabla L = (2,\ -6,\ 3)$

and the parameters currently sit at:

The training loop runs clipping by norm with threshold $c = 3.5$, and then a plain gradient-descent update with learning rate $\alpha = 0.20$. In order:

1. Measure the gradient's length $\lVert \nabla L \rVert$.
2. If that length is above $c$, replace the gradient by $\dfrac{c}{\lVert \nabla L \rVert}\,\nabla L$. If it is at or below $c$, leave the gradient exactly as it is.
3. Update every parameter with $w \leftarrow w - \alpha\,g$, where $g$ is whatever came out of step 2.

What is the value of $w_2$ after this single update?

Round your answer to two decimal places.