I’m not sure how to understand the question as you are defining the model architecture and are responsible for the interpretation of the model output. Based on your description I guess you are using two output neurons, apply a sigmoid on them, and are dealing with a multi-label classification use case?
If that’s the case, your model would try to output a high value (close to 1), if the class is active, and a 0 otherwise.