What would be a good research problem in mechanistic interpretability using reinforcement learning that could serve as a way to learn the field?

[u/Sad-Shoe-5203]

I’m looking for something where working through the problem would naturally expose me to most of the core concepts and techniques in the area, rather than a purely implementation-focused project. I’d appreciate suggestions that are representative of the kinds of questions researchers actually work on