The function f(x) implemented by the MLP appears to be a non-linear activation function, possibly a sigmoid or tanh. It maps negative inputs to negative outputs and positive inputs to positive outputs. The function has a S-shaped curve, where the output starts at negative values, dips down to around -2, then gradually increases to around 2, before finally leveling off at positive values.

