Dontopedia

Layer 1 Side Channel

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

Layer 1 Side Channel has 15 facts recorded in Dontopedia across 1 reference, with 2 live disagreements.

15 facts·11 predicates·1 sources·2 in dispute

Mostly:populates with(4), component has metric(2), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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hasLayerHas Layer(1)

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
PredicateValueRef
Populates WithOrder Parameter[1]
Populates WithHub Signal[1]
Populates WithSpectral Entropy[1]
Populates WithBeta[1]
Component Has MetricR Global V1[1]
Component Has MetricPair Sims V1[1]
Rdf:typeImplementation Strategy[1]
Target ComponentLohe Spherical Ff Nv2[1]
Characteristicminimal, non-invasive[1]
Proposes Code ChangeCode Change Init Metrics[1]
Timing of Populationend of __call__[1]
Precondition for Populationtensors are computed but before return[1]
Uses Read Method.item()[1]
Uses Contextmx.no_grad()[1]
Mentions Applicability toLohe Spherical Ffn[1]

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.

typeblah/watt-activation/183
ex:ImplementationStrategy
targetComponentblah/watt-activation/183
ex:LoheSphericalFFNv2
characteristicblah/watt-activation/183
minimal, non-invasive
proposesCodeChangeblah/watt-activation/183
ex:code-change-init-metrics
timingOfPopulationblah/watt-activation/183
end of __call__
preconditionForPopulationblah/watt-activation/183
tensors are computed but before return
populatesWithblah/watt-activation/183
ex:order-parameter
populatesWithblah/watt-activation/183
ex:hub-signal
populatesWithblah/watt-activation/183
ex:spectral-entropy
populatesWithblah/watt-activation/183
ex:beta
usesReadMethodblah/watt-activation/183
.item()
usesContextblah/watt-activation/183
mx.no_grad()
mentionsApplicabilityToblah/watt-activation/183
ex:LoheSphericalFFN
componentHasMetricblah/watt-activation/183
ex:r-global-v1
componentHasMetricblah/watt-activation/183
ex:pair-sims-v1

References (1)

1 references
  1. [1]18315 facts
    ctx:discord/blah/watt-activation/183
    • full textwatt-activation-183
      text/plain3 KBdoc:agent/watt-activation-183/aa64c83c-e728-416e-9b09-62cb1782add2
      Show excerpt
      [2026-03-10 02:09] xenonfun: ``` Key findings: 1. RotationalAdamW: strong convergence from scratch (9.9→7.6 train loss), consistent 11.6K tok/s — expected baseline for cl100k vocab (lower than BPE-8K benchmark's 22K due to 100K-class l

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