l2_normalize
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
l2_normalize is Normalize the embeddings using L2 normalization.
Mostly:related normalization technique(3), implementation detail(2), uses parameter(2)
Maturity scale
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containsContains(2)
- Code Block
ex:code-block - Example Usage
ex:example-usage
appearsInAppears in(1)
- Code Comment
ex:code-comment
assignedByAssigned by(1)
- Normalized L2
ex:normalized_l2
containsFunctionContains Function(1)
- Code Block
ex:code-block
hasMemberHas Member(1)
- All Normalization Functions
ex:all-normalization-functions
preferredOverNormalizePreferred Over Normalize(1)
- Tanh
ex:tanh
usedByUsed by(1)
- Embeddings
ex:embeddings
Other facts (22)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Related Normalization Technique | L1 Normalize | [3] |
| Related Normalization Technique | Max Normalize | [3] |
| Related Normalization Technique | Clip Normalize | [3] |
| Implementation Detail | norms = np.linalg.norm(embeddings, axis=1, keepdims=True) | [3] |
| Implementation Detail | normalized_embeddings = embeddings / norms | [3] |
| Uses Parameter | Axis Parameter | [3] |
| Uses Parameter | Keepdims Parameter | [3] |
| Destroys Magnitude | true | [1] |
| Presupposes Magnitude Loss | true | [1] |
| Has Property | destroys magnitude | [2] |
| Rdf:type | Function | [3] |
| Has Parameter | Embeddings | [3] |
| Uses Library | Numpy | [3] |
| Uses Function | Np Linalg Norm | [3] |
| Norm Calculation Axis | 1 | [3] |
| Norm Keep Dimensions | true | [3] |
| Returns | Normalized Embeddings | [3] |
| Description | Normalize the embeddings using L2 normalization | [3] |
| Normalization Type | L2 Normalization | [3] |
| Uses Operation | Division Operation | [3] |
| Operation Order | 1 | [3] |
| Has Optional Parameters | false | [3] |
Timeline
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References (3)
ctx:discord/blah/watt-activation/part-118ctx:discord/blah/watt-activation/118- full textwatt-activation-118text/plain3 KB
doc:agent/watt-activation-118/ed79098d-1144-44f5-9941-e6b2b9c1caa7Show excerpt
[2026-03-08 23:43] xenonfun: Code Changes (3 important patterns) 1. Fused QKV projection in SpectralAttention - Separate q_proj, k_proj, v_proj → single qkv_proj = Linear(d_model, 3 * d_model). One matmul instead of three. We should po…
ctx:claims/beam/92a95877-3ba8-48c1-86f2-e8a0865392f0
See also
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