Yes, I would interpret these samples in a different range as samples from another data distribution.
By saturation I mean that the parameters of your model were trained to create useful features using a normalized input. If you provide now much larger input values, the magnitude of your activation will be most likely much higher, thus pushing your predictions to a certain constant value. At least that was my observation.