We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models. This is the first ever detailed look inside a modern, production-grade large language model.

I often see a lot of people with outdated understanding of modern LLMs.

This is probably the best interpretability research to date, by the leading interpretability research team.

It’s worth a read if you want a peek behind the curtain on modern models.

  • GiveMemes@jlai.luEnglish
    1·
    1 month ago

    That’s a chicken and egg situation tho. Is the bias a result of a mind? Or is it the result of being trained on data with common human biases all put together by humans? Are these traits actually measurable or are we just anthropomorphizing a machine like we do everything else?