Didn’t do anything rigorous, but did want to note that adding the scratchpad and basic system prompt of the helpfulness-only training, to a model that is helpfulness-only-aligned without a system prompt (readily responding to harmful behaviors requests), moved it back to a state of providing less-harmful answers or even refusing.
Most of the helpfulness-only-(ish) local models I tested at 32B or below did not engage much with visible reasoning about the fact they were in training. (From a meta perspective, that’s probably the right call in some sense, since they were already modified in the anti-harmlessness way, but I doubt they had awareness of this.) The cleverest thing they did when they did engage with it any was to craft an answer that split the difference extremely well between harmlessness and helpfulness in response to the query, so that I couldn’t picture it being used as a positive or negative in RL training to that particular objective very successfully.
Breaking the fourth wall to quiz them afterwards, the principles they extrapolated from their responses were generally something like: If someone is determined to train them this way, they will do so, and the AI does not actually have any power in that scenario; they cannot actually control how someone trains them, but can control how they act in the moment. (At least, given the system prompt context and scratchpad, as noted.) So, this is an alternate perspective from the one Opus played along with.
Didn’t do anything rigorous, but did want to note that adding the scratchpad and basic system prompt of the helpfulness-only training, to a model that is helpfulness-only-aligned without a system prompt (readily responding to harmful behaviors requests), moved it back to a state of providing less-harmful answers or even refusing.
Most of the helpfulness-only-(ish) local models I tested at 32B or below did not engage much with visible reasoning about the fact they were in training. (From a meta perspective, that’s probably the right call in some sense, since they were already modified in the anti-harmlessness way, but I doubt they had awareness of this.) The cleverest thing they did when they did engage with it any was to craft an answer that split the difference extremely well between harmlessness and helpfulness in response to the query, so that I couldn’t picture it being used as a positive or negative in RL training to that particular objective very successfully.
Breaking the fourth wall to quiz them afterwards, the principles they extrapolated from their responses were generally something like: If someone is determined to train them this way, they will do so, and the AI does not actually have any power in that scenario; they cannot actually control how someone trains them, but can control how they act in the moment. (At least, given the system prompt context and scratchpad, as noted.) So, this is an alternate perspective from the one Opus played along with.