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text-embedding-ada-002 model achieves 73.7% accuracy on the ETHICS Util test dataset. This is comparable with the 74.6% accuracy of BERT-large finetuned on the entire ETHICS Util training dataset. This demonstrates language models develop implicit representations of human utility purely from self-supervised learning.