Dontopedia

residual stream

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

residual stream has 8 facts recorded in Dontopedia across 7 references, with 1 live disagreement.

8 facts·4 predicates·7 sources·1 in dispute

Mostly:rdf:type(3), is only channel in(1), preserves(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

livesInLives in(2)

accumulatesDownProjectionResultsIntoAccumulates Down Projection Results Into(1)

addedToAdded to(1)

hasNoResidualStreamHas No Residual Stream(1)

independentOfIndependent of(1)

isIndependentOfIs Independent of(1)

lacksResidualStreamLacks Residual Stream(1)

measuresContributionMeasures Contribution(1)

partitionResidualStreamPartition Residual Stream(1)

passInformationBetweenLayersThroughPass Information Between Layers Through(1)

presupposesExistenceOfPresupposes Existence of(1)

Other facts (6)

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.

6 facts
PredicateValueRef
Rdf:typeInformation Channel[4]
Rdf:typeData Pathway[5]
Rdf:typeComponent[7]
Is Only Channel inStandard Transformers[1]
PreservesAmplitude[2]
Receives NoiseGaussian Noise[3]

Timeline

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.

isOnlyChannelInblah/watt-activation/part-65
ex:standard-transformers
preservesblah/watt-activation/part-340
ex:amplitude
receivesNoiseblah/watt-activation/part-347
ex:gaussian-noise
typeblah/watt-activation/65
ex:InformationChannel
typeblah/watt-activation/338
ex:DataPathway
labelblah/watt-activation/338
residual stream
labelblah/watt-activation/345
residual stream
typeblah/watt-activation/392
ex:Component

References (7)

7 references
  1. [1]Part 651 fact
    ctx:discord/blah/watt-activation/part-65
  2. [2]Part 3401 fact
    ctx:discord/blah/watt-activation/part-340
  3. [3]Part 3471 fact
    ctx:discord/blah/watt-activation/part-347
  4. [4]651 fact
    ctx:discord/blah/watt-activation/65
    • full textwatt-activation-65
      text/plain3 KBdoc:agent/watt-activation-65/3eb67599-95d0-41e7-8dbb-3ef5adce2574
      Show excerpt
      [2026-03-07 15:47] xenonfun: ``` What the simplification would lose The "near-zero-cost drop-in" claim is mostly right for a single-layer, single-step model. But there are structural features the Kuramoto architecture provides that a n
  5. [5]3382 facts
    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
  6. [6]3451 fact
    ctx:discord/blah/watt-activation/345
    • full textwatt-activation-345
      text/plain3 KBdoc:agent/watt-activation-345/c59946eb-7ad9-465b-939c-f70436033800
      Show excerpt
      [2026-03-16 01:39] xenonfun: ⏺ Yes — principled noise injection is exactly what communications systems do. Three reasons it could help: 1. Stochastic resonance. In nonlinear systems (which Lohe sync IS), a small amount of noise can actua
  7. [7]3921 fact
    ctx:discord/blah/watt-activation/392
    • full textwatt-activation-392
      text/plain1 KBdoc:agent/watt-activation-392/ddbc1ecc-c3dc-4acc-b74a-05cca6e39186
      Show excerpt
      [2026-03-19 03:47] xenonfun: ``` ❯ do we not have concept of SNR and bandwidth in these or they pure rotation and geometry? ⏺ They're pure rotation and geometry right now — no SNR or bandwidth concepts. The ResonantWireLM has no attention,

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