Neural Network: why we turn off neuron negative activation in ReLU?

If we are talking non- linear activation function for hidden layer, but the ReLU is linear for the positive activation.
How this maintain non-linearity ?
Can we say that the feature can not be negative, that why ReLU turn off the neuron?

deeplearning feature function hidden layer linear negative network neural network neuron positive relu