Dontopedia

spectral (seq=2048)

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

spectral (seq=2048) has 27 facts recorded in Dontopedia across 2 references.

27 facts·25 predicates·2 sources

Mostly:has parameter count(2), uses attention mechanism(1), has learning rate schedule(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (24)

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.

isPartOfIs Part of(11)

partOfPart of(7)

hasHigherIterGpuPeakThanHas Higher Iter Gpu Peak Than(1)

hasHigherParameterCountThanHas Higher Parameter Count Than(1)

hasSlightlyHigherGpuCacheThanHas Slightly Higher Gpu Cache Than(1)

impliesSlightlyWorsePerformanceImplies Slightly Worse Performance(1)

presentsIterProgressPresents Iter Progress(1)

reportsTrainingResultsReports Training Results(1)

Other facts (26)

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.

26 facts
PredicateValueRef
Has Parameter Count86974080[1]
Has Parameter Count86974080[2]
Uses Attention MechanismSpectral Attn[1]
Has Learning Rate ScheduleCosine Decay Lr[1]
Has Max Sequence Length2048[1]
Has More Parameters ThanKan Run[1]
Has Statuscomplete[1]
Loaded Num Sequences5000[1]
Performed Num Iterations100[1]
Presupposes Data LoadingSpectral Data[1]
Presupposes Gpu UsageGpu[1]
Presupposes Successful Convergencelow loss[1]
Trains ModelHarmonic Gpt[1]
Exhibits Overall Loss DecreaseSpectral Iter 100[1]
Has Constant Gpu Active1[1]
Has Constant Process Rss3.2[1]
Rdf:typeTraining Run[2]
Reported inLog Message 2[2]
ModelsHarmonic Gpt[2]
Has Attention Mechanismspectral[2]
Has Embedding Dimension768[2]
Has Layer Count12[2]
Has Head Count12[2]
Has Sequence Length2048[2]
Loaded Sequence Count5000[2]
Loaded Sequence Length2048[2]

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.

usesAttentionMechanismblah/watt-activation/part-112
ex:spectral-attn
hasLearningRateScheduleblah/watt-activation/part-112
ex:cosine-decay-lr
hasMaxSequenceLengthblah/watt-activation/part-112
2048
hasMoreParametersThanblah/watt-activation/part-112
ex:kan-run
hasParameterCountblah/watt-activation/part-112
86974080
hasStatusblah/watt-activation/part-112
complete
loadedNumSequencesblah/watt-activation/part-112
5000
performedNumIterationsblah/watt-activation/part-112
100
presupposesDataLoadingblah/watt-activation/part-112
ex:spectral-data
presupposesGpuUsageblah/watt-activation/part-112
ex:gpu
presupposesSuccessfulConvergenceblah/watt-activation/part-112
low loss
trainsModelblah/watt-activation/part-112
ex:harmonic-gpt
exhibitsOverallLossDecreaseblah/watt-activation/part-112
ex:spectral-iter-100
hasConstantGpuActiveblah/watt-activation/part-112
1
hasConstantProcessRSSblah/watt-activation/part-112
3.2
typeblah/watt-activation/112
ex:TrainingRun
labelblah/watt-activation/112
spectral (seq=2048)
reportedInblah/watt-activation/112
ex:log-message-2
modelsblah/watt-activation/112
ex:HarmonicGPT
hasAttentionMechanismblah/watt-activation/112
spectral
hasEmbeddingDimensionblah/watt-activation/112
768
hasLayerCountblah/watt-activation/112
12
hasHeadCountblah/watt-activation/112
12
hasSequenceLengthblah/watt-activation/112
2048
hasParameterCountblah/watt-activation/112
86974080
loadedSequenceCountblah/watt-activation/112
5000
loadedSequenceLengthblah/watt-activation/112
2048

References (2)

2 references
  1. [1]Part 11215 facts
    ctx:discord/blah/watt-activation/part-112
  2. [2]11212 facts
    ctx:discord/blah/watt-activation/112
    • full textwatt-activation-112
      text/plain3 KBdoc:agent/watt-activation-112/dad4c21d-6073-4542-b09b-5b5162617d30
      Show excerpt
      [2026-03-08 22:40] xenonfun: ``` === kan (seq=2048) === Training HarmonicGPT | attn=kan d=768 L=12 H=12 seq=2048 Parameters: 86,826,048 Loaded 5,000 sequences of length 2048 iter 10/100 | loss 5.4382 | lr 3.00e-04 | tok/s 14,738 | gpu 1

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