Better-than-random initialization is underexplored, but there are some works in that direction.

One of the main issues is: we don't know how to generate useful computational structure for LLMs - or how to transfer existing structure neatly across architectural variations.

What you describe sounds more like a "progressive growing" approach, which isn't the same, but draws from some similar ideas.