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Have you looked at Noam Elkies's Mordell-Weil lattices? They're defined for power-of-two dimensions and they're record-breakingly dense in the range you describe: citeseerx.ist.psu.edu/viewdoc/… There's a sequel of this paper which looks specifically at the dimension-128 lattice. I don't know whether anyone has tried to solve the closest vector problem in these lattices, though.
@MichaelHardy In terms of choosing $c_1, \dots, c_{\binom{n}{2}}$ to give the good $\varepsilon$-approximability, that's effectively a separate question unrelated to $SO(n)$. For two values, $1, \phi$ is known to be optimal, but I'm unsure how this generalises to higher dimensions.
No, $C$ is a 12-dimensional orthoplex (24 vertices) inscribed in a 12-dimensional hypercube (4096 vertices). The codimension-1 configuration $C'$ is an 11-dimensional simplex (12 vertices) inscribed in an 11-dimensional hypercube (2048 vertices).