Transformer

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-19.)

Transformer has 15 facts recorded in Dontopedia across 13 references, with 1 live disagreement.

15 facts·12 predicates·13 sources·1 in dispute

Mostly:rdf:type(4), planned for comparison(1), computes prev hidden(1)

Inbound mentions (17)

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.

`architecture`Architecture(1)

Distilbert Base Uncasedex:distilbert-base-uncased

`declaresVariable`Declares Variable(1)

Mainex:main

`flowsThrough`Flows Through(1)

D Model Hidden Statesex:d-model-hidden-states

`hasLessWorkThan`Has Less Work Than(1)

Antennaex:antenna

`hasLocalVariable`Has Local Variable(1)

Mainex:Main

`instantiatedBy`Instantiated by(1)

Metadata Transformerex:MetadataTransformer

`is`Is(1)

Full Systemex:full-system

`isType`Is Type(1)

V4 Modelex:v4-model

`leadsImplementationsOf`Leads Implementations of(1)

Lucidrainsex:lucidrains

`moreEfficientThan`More Efficient Than(1)

Antennaex:antenna

`ontologicallyReplaces`Ontologically Replaces(1)

Geometryex:geometry

`passesThrough`Passes Through(1)

Qam Amplitude Informationex:qam-amplitude-information

`presupposesTransformerLayer`Presupposes Transformer Layer(1)

Rmsnormex:rmsnorm

`referencesKnownArchitecture`References Known Architecture(1)

Transformerex:transformer

`replacedAllPartsOf`Replaced All Parts of(1)

Lisamegawattsex:lisamegawatts

`replacesTransformerParts`Replaces Transformer Parts(1)

Geometryex:geometry

`transforms`Transforms(1)

Current Pipelineex:current-pipeline

Other facts (15)

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.

15 facts

Predicate	Value	Ref
Rdf:type	Neural Architecture	[9]
Rdf:type	Model Architecture	[10]
Rdf:type	Neural Network Architecture	[12]
Rdf:type	Architecture	[13]
Planned for Comparison	null	[1]
Computes Prev Hidden	As Separate Pass	[2]
Uses Dense Vectors	Current Pipeline	[3]
Is	Receiver	[4]
Contains Multiple	Attention Layer	[5]
Exists As Baseline	null	[6]
References Known Architecture	Transformer	[7]
Combines With	Weight Standardization	[8]
Variable Type	MetadataTransformer	[11]
Ex:uses	Attention	[13]
Ex:is Basis for	Gemma4	[13]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

15 undated

—

plannedForComparisonblah/watt-activation/part-8

null

—

computesPrevHiddenblah/watt-activation/part-301

ex:as-separate-pass

—

usesDenseVectorsblah/watt-activation/part-321

ex:current-pipeline

—

isblah/watt-activation/part-333

ex:receiver

—

containsMultipleblah/watt-activation/part-340

ex:attention-layer

—

existsAsBaselineblah/watt-activation/part-362

null

—

referencesKnownArchitectureblah/watt-activation/part-381

ex:transformer

—

combinesWithblah/watt-activation/part-93

ex:weight-standardization

—

typeblah/watt-activation/319

ex:NeuralArchitecture

—

typeblah/watt-activation/338

ex:ModelArchitecture

—

variableTypebeam/19a05a69-cf3e-436c-9341-b4737641d484

MetadataTransformer

—

typebeam/6964a23c-e677-4804-957c-6b37fd691ca1

ex:NeuralNetworkArchitecture

—

typeclaims/session/discord:1349727923434815519:1438147272855523358

ex:Architecture

—

usesclaims/session/discord:1349727923434815519:1438147272855523358

ex:Attention

—

isBasisForclaims/session/discord:1349727923434815519:1438147272855523358

ex:Gemma4

References (13)

13 references

[1]Part 81 fact
ctx:discord/blah/watt-activation/part-8
[2]Part 3011 fact
ctx:discord/blah/watt-activation/part-301
[3]Part 3211 fact
ctx:discord/blah/watt-activation/part-321
[4]Part 3331 fact
ctx:discord/blah/watt-activation/part-333
[5]Part 3401 fact
ctx:discord/blah/watt-activation/part-340
[6]Part 3621 fact
ctx:discord/blah/watt-activation/part-362
[7]Part 3811 fact
ctx:discord/blah/watt-activation/part-381
[8]Part 931 fact
ctx:discord/blah/watt-activation/part-93
[9]3191 fact
ctx:discord/blah/watt-activation/319
- full textwatt-activation-319
  text/plain2 KBdoc:agent/watt-activation-319/f54ddf34-a21b-47fb-8296-277054f2ccaa
  Show excerpt
  [2026-03-15 02:58] lisamegawatts: You're right — the whole point of QPSK isn't to be sparse, it's to be bandwidth-efficient. In telecom, QPSK packs 2 bits into one symbol period because the receiver only needs to distinguish 4 phase states,…
[10]3381 fact
ctx:discord/blah/watt-activation/338
- full textwatt-activation-338
  text/plain3 KBdoc:agent/watt-activation-338/5291b646-c08b-45ca-b1fe-b63fc86c3354
  Show 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…
[11]19a05a69 Cf3e 436c 9341 B4737641d4841 fact
ctx:claims/beam/19a05a69-cf3e-436c-9341-b4737641d484
[12]6964a23c E677 4804 957c 6b37fd691ca11 fact
ctx:claims/beam/6964a23c-e677-4804-957c-6b37fd691ca1
- full textbeam-chunk
  text/plain1 KBdoc:beam/6964a23c-e677-4804-957c-6b37fd691ca1
  Show excerpt
  Once we have the profiling results, we can analyze them to pinpoint the slowest parts of the code. ### Step 3: Optimize the Code Based on the analysis, we can make targeted optimizations to improve performance. ### Example Code with Prof…
[13]Discord:1349727923434815519:14381472728555233583 facts
ctx:memory/claims/session/discord:1349727923434815519:1438147272855523358

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Transformer

Inbound mentions (17)

architectureArchitecture(1)

declaresVariableDeclares Variable(1)

flowsThroughFlows Through(1)

hasLessWorkThanHas Less Work Than(1)

hasLocalVariableHas Local Variable(1)

instantiatedByInstantiated by(1)

isIs(1)

isTypeIs Type(1)

leadsImplementationsOfLeads Implementations of(1)

moreEfficientThanMore Efficient Than(1)

ontologicallyReplacesOntologically Replaces(1)

passesThroughPasses Through(1)

presupposesTransformerLayerPresupposes Transformer Layer(1)

referencesKnownArchitectureReferences Known Architecture(1)

replacedAllPartsOfReplaced All Parts of(1)

replacesTransformerPartsReplaces Transformer Parts(1)

transformsTransforms(1)