Measure variation in seeded evals

[rwood-97]

Currently we set np.random.RandomState(seed) to control which docs are sampled and torch.manual_seed(seed) to make inference determistic.

To check this doesn't matter:

• Re-run evals with different seed for np.random (doc selection)
• Re-run evals with different torch seed (next token selection)