Change intermediate activations/output and observe prediction in TF2/Keras

Question

Let us say I have a simple NN model classifying MNIST like so:

model = models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dens