We can rearrange the axes around using dyadic transpose (3 0 1 2⍉) to have the positions appear at the last dimension. I wouldn't try to visualize a 4-dimensional rearrangement of the data, just trust me on this and look at the results.
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。新收录的资料对此有专业解读
Выигравший Паралимпиаду российский лыжник поздравил со своей победой Путина14:50。新收录的资料对此有专业解读
The Death Spiral of Social Media