In the paper, Fig 2, they show the kernel and corresponding output images.
I would have to go through the paper to understand top 9 activations as they mention.
One intuition that is trivial is that out of say 32 kernels you have, after applying the activation say ReLU, you can sum up all the output cell values (of the image passing through a kernel) and decide the max 9 activated ones.