Learn Before
GeGLU (GELU-based Gated Linear Unit)
GeGLU is a specific variant within the Gated Linear Unit (GLU) family of activation functions. It is formed when the internal non-linear activation function, 蟽(路), in the general GLU structure is defined as the Gaussian Error Linear Unit (GELU) function.
0
1
Tags
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Related
Gated Linear Unit (GLU) Formula
GeGLU (GELU-based Gated Linear Unit)
SwiGLU (Swish-based Gated Linear Unit)
Shazeer [2020] on Gated Linear Units
Structural Analysis of Gated Linear Units
The Gated Linear Unit (GLU) architecture processes an input through two parallel linear transformations. One of these transformed outputs is then passed through a non-linear function before being combined with the other via an element-wise product. What is the analytical purpose of this non-linearly transformed path in the overall mechanism?
A standard feed-forward network layer applies a non-linear activation function after a single linear transformation. The Gated Linear Unit (GLU) architecture, however, processes an input through two parallel linear transformations, where one path acts as a 'gate' for the other after being passed through a non-linear function. What is the primary analytical advantage of this gating mechanism compared to using a single, non-gated activation function?
Learn After
GeGLU (GELU-based Gated Linear Unit) Formula
Applications of GeGLU in Large Language Models
An activation function is constructed by taking an input, applying two separate linear transformations to it, and then combining the results. One transformed output is passed through a non-linear 'gating' function, and the result is then multiplied element-wise with the other transformed output. For this entire structure to be correctly identified as a GeGLU, what must be true about the gating function?
Analyzing a Gating Mechanism
Analysis of a Custom Activation Unit