a lot of past research (relative representations, The Platonic Representation Hypothesis, comparison metrics like CCA, SVCCA, …) has asserted that once they reach a certain scale, different models learn the same thing this has been shown using various metrics of comparison
Scale Convergence: Different AI Models Learn Identical Representations
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