I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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如果不确定用哪个激活函数，隐藏层可以先用 ReLU，输出层按任务选择；训练中注意梯度情况，如果梯度消失或爆炸，再考虑替换或调整激活函数。
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