ReLU
Also known as: Rectified Linear Unit
ReLU is $f(x) = \max(0, x)$. It is simple, sparse, and historically important for deep nets. Variants (Leaky ReLU, GELU) address dead units or smooth the kink at zero.
Many modern LLMs prefer GELU/SwiGLU over plain ReLU in feed-forward layers.