Value Matrix (V) in Attention
In attention mechanisms, the Value matrix, denoted as , is a matrix that contains the set of value vectors for an input sequence. The dimensions of this matrix are , where is the sequence length (the number of value vectors) and is the dimension of each individual value vector. This is formally expressed as:
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Learn After
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General Attention Formula
Value Matrix for Causal Attention (V_≤i)
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An attention mechanism processes an input sequence of 20 tokens, where each token is represented by a 256-dimensional vector. A Value matrix (V) is generated as part of this process. Which of the following statements most accurately describes the properties and role of this V matrix?
Determining Value Matrix Dimensions
Debugging an Attention Mechanism