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Hi, thanks for your interest in the work!
Regarding SST2 and WSC yes, the distribution over next tokens with respect to an LM can change depending on the prompt-string we're conditioning on. Feel free to make any modifications to the prompts to explore, though yes, performance may change. You may even consider aggregating over your alternate prompts in addition to the ones we provide.
Regarding those two QA tasks, GPT-3 reports accuracy. You can find their reported metrics for all tasks on page 63 "Metric" column in the original GPT-3 paper (https://arxiv.org/pdf/2005.14165.pdf).
Please let us know if you have additional questions!!
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