You train the model then do a baseline evaluation. Then you evaluate many variants where you have removed or nulled out different layers or chunks of the model. By comparing the performance of those mutated models to the baseline you can learn a lot about the model. What parts don't have much value and can be removed, the location of "functions" or "facts." Etc. Google it.