BTW its much faster and cheaper to artive at a good prompt if you sample the model in deterministic mode (ie temperature=0)
By default you have to guess if the difference is due to the prompt change or due to the dice roll, as you’ve noticed, but you don’t need to!
This is degenerate (greedy) behaviour, and not representative of the what the prompt will behave like at a higher temperature.
(At least, that’s my understanding; it’s a complex topic but broadly speaking there no specific reason, as far as I’m aware, to expect that a particular combination of params/prompt is representative of any other combination of params/prompt for the same model; it may be, but it may not. Certainly on models like GPT4 it is not, for reasons that are not clear to anyone. So… take care with your prompt testing. setting temperature to 0 is basically meaningless unless you expect to use a temperature of 0 in production. The results you get from your prompts at temp 0 are not generally reflective of the results you will get at temp > 0).