Attention Layer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Attention Layer has 2 facts recorded in Dontopedia across 2 references.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
normalizedAtEveryNormalized at Every(2)
- Variable K
ex:variable-k - Variable Q
ex:variable-q
normalizedToUnitLengthNormalized to Unit Length(2)
- Variable K
ex:variable-k - Variable Q
ex:variable-q
containsMultipleContains Multiple(1)
- Transformer
ex:transformer
Other facts (2)
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 |
|---|---|---|
| Normalizes | Q | [1] |
| Rdf:type | Model Component | [2] |
Timeline
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References (2)
ctx:discord/blah/watt-activation/part-340ctx:discord/blah/watt-activation/338- full textwatt-activation-338text/plain3 KB
doc:agent/watt-activation-338/5291b646-c08b-45ca-b1fe-b63fc86c3354Show excerpt
[2026-03-15 16:56] xenonfun: ``` ⏺ No — LoheSphericalComplexAttention added complex gates (bandpass resonators) and complex coupling (phase-shifted sync). But the Lohe sync itself still normalizes to S^{H-1}: Q = lohe_normalize(self.proj…
See also
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