Does higher activation value mean a neuron is important in neural networks?

Suppose I have a deep neural network for classification purposes, which consists of two hidden layers, 50 neurons in each layer and "Relu" as the activation function. The output of the activation function ranges from 0 to +1 in my model. Now, is there any way to say a higher activation value (say close to 1) of a neuron means the neuron is more important compared to a neuron which has lower activation value (close to 0)?