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by armcat 983 days ago
Great work! I love the use of simple techniques like normalized entropy and cosine distance to reveal what the model is "thinking". The example with random number generation is very cool! I actually managed to get that example to work by telling it that it's allowed to use replacement, AND by giving it an example of repeated numbers (just telling it that it can repeat the numbers won't work). Then I get perfect uniform distribution on each step (spikes are all same length). I can definitely see how something like this could be used to guide prompt engineering strategies.