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Attention Mechanism
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Multi Head
Multi Head
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15 questions
Questions tagged with Multi Head — part of Attention Mechanism.
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Given Q of shape (B, n_heads, T, d_head), the per head attention output before concatenation has shape ___.
Fill in Blank
Easy
Describe the W_O projection in multi-head attention, its shape and what it mixes.
Flashcard
Easy
Beyond shape preservation, name two things W_O does after head concat
Short Answer
Medium
Which config token names the count of parallel attention heads in a layer?
Flashcard
Easy
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True or false: swapping…
Multiple Choice
Medium
Decode the acronym MHA in the transformer attention context.
Flashcard
Easy
Across which of these axes is the KV cache stored: per layer, per head, per batch, or all three?
Flashcard
Easy
Head pruning studies report that many attention heads can be removed with negligible loss. Which is the correct interpretation?
Multiple Choice
Medium
Which formula defines head_dim from hidden_size and num_heads?
Multiple Choice
Easy
What are the typical head counts and head dimensions for modern 7B models?
Fill in Blank
Easy
Walk through how a token's d_model embedding is split into per head pieces inside multi-head attention.
Multiple Choice
Easy
What is in a single attention head, and what is its output?
Flashcard
Easy
Why does multi-head attention outperform a single large attention head?
Short Answer
Hard
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What does multi-head attention…
Multiple Choice
Medium
True or false: switching from 1-head to 12-head attention at the same d_model increases total parameter count.
Multiple Choice
Medium
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