These are not the published scores
The original test measures distance with a specific word-meaning model
(GloVe). This run used models running locally instead, which put every distance
on a different scale. Human scores average about 78 on the published scale;
nothing here is comparable to that, which is why no number on this page is
dressed up to look like it.
The scale is squashed at the far end
The local models agree with the original about words that are close together,
but compress the ones that are far apart to about half the distance. The far end
is exactly where this test separates good answers from great ones, so real
differences show up smaller here than they would on the real instrument.
A repeated answer is not ten answers
At temperature 0 a model gives the same reply every time. Ten identical
attempts look like ten measurements but carry the information of one, so those
cells are marked as repeats instead of being given an error range.
This is not a creativity score
The task earns its reputation from correlating with human creativity in
humans. That link is not established for language models. What is measured here
is the average distance between the nouns a model emitted — nothing more.