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Write a Python function that computes the softmax activation for a given list of scores. The function should handle numerical stability by preventing overflow when exponentiating large values. Return the softmax values as a list of floats.
scores = [1, 2, 3]
[0.0900, 0.2447, 0.6652]
The softmax function converts a list of values into a probability distribution. The probabilities are proportional to the exponential of each element divided by the sum of the exponentials of all elements in the list.
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