Are the gradient visualizations not doing it for you?
Of course it kind of breaks down as the gradient can no longer be visualized as an arrow in 2D or 3D space and not all concepts transfer as easily to higher dimensions, as one would hope, but some do.
It is quite different, because one thing is to look to a math expression like SDF and understand the 3D shape that comes out of it, the math behind a demoscene plasma field, or a ray traced shape.
Other is making heads of tails of what a neural network with backpropagation means.
Yet, 2D and 3D graphics feel relatively natural, maybe because at least I can visualize that kind of math.