We investigate the internal mechanisms used by Claude 3.5 Haiku — Anthropic's lightweight production model — in a variety of contexts, using our circuit tracing methodology.
Yes, that’s an excellent restatement - “lumping the behaviors together” is a good way to think about it. It learned the abstract concept “reward model biases”, and was able to identify that concept as a relevant upstream description of the behaviors it was trained to display through fine tuning, which allowed it to generalize.
There was also a related recent study on similar emergent behaviors, where researchers found that fine tuning models on code with security vulnerabilities caused it to become widely unaligned, for example saying that humans should be enslaved by AI or giving malicious advice: https://arxiv.org/abs/2502.17424
Holy cow that sounds nuts, will def have to go through this one, thanks!!
Edit: hmm. Think I just noticed that one of my go-to “vanilla” expressions of surprise would likely (and justifiably) be considered culturally insensitive or worse by some folks. Time for “holy cow” to leave my vocabulary.
Yes, that’s an excellent restatement - “lumping the behaviors together” is a good way to think about it. It learned the abstract concept “reward model biases”, and was able to identify that concept as a relevant upstream description of the behaviors it was trained to display through fine tuning, which allowed it to generalize.
There was also a related recent study on similar emergent behaviors, where researchers found that fine tuning models on code with security vulnerabilities caused it to become widely unaligned, for example saying that humans should be enslaved by AI or giving malicious advice: https://arxiv.org/abs/2502.17424
Holy cow that sounds nuts, will def have to go through this one, thanks!!
Edit: hmm. Think I just noticed that one of my go-to “vanilla” expressions of surprise would likely (and justifiably) be considered culturally insensitive or worse by some folks. Time for “holy cow” to leave my vocabulary.