How to classify images Neural Network didn't trained to Understand Let's say I trained a Convolution neural network to Identify Cats , Dogs and wolves . But suddenly I feed it pictures of rabbits and  Lions. so  how can I classify those as pictures as "Other"

I tried to do this by Adding "Sigmoid" activation functions and getting probabilities for each selection. I thought probabilities for each selection might be different. I thought If I feed a Rabbit picture to NN it will out 20% cat ,44% dog and 34% wolf. That way  I can clearly figure NN is confused. But Unfortunately it gives me results like 70% cat , 10% Dog , 20% wolf.   

Can You suggest me a Way to fix this problem ?
You need to modify the dataset by adding 1 label called 'others'. Now, there are 4 output labels: cat, dog, wolf, and others. Then, you train the model again.