@gaudeamusigutur I suspect the problem is that the names were in the GPT-2 train set and assigned their own tokens because they appeared many times. But weren't in the more curated datasets of GPT-3 and gpt-j, which nonetheless use the GPT-2 tokenizer. So the model never learned what they mean