Dontopedia

12 Layers

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

12 Layers has 7 facts recorded in Dontopedia across 5 references.

7 facts·7 predicates·5 sources

Mostly:presupposes gpt2 architecture(1), specifies model layers(1), implies l(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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hasHas(1)

involvesInvolves(1)

multipliesWithMultiplies With(1)

Other facts (7)

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.

7 facts
PredicateValueRef
Presupposes Gpt2 ArchitectureGpt 2[1]
Specifies Model Layers12[2]
Implies LL Layer Depth Axis[3]
Exhibits Near ZeroPairwise Cosine Similarity[3]
Multiplies With28 Planes[4]
Has Pairwise Cosine SimilarityNear Zero[5]
OccupiesDistinct Harmonic Subspace[5]

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.

presupposesGpt2Architectureblah/watt-activation/part-122
ex:gpt-2
specifiesModelLayersblah/watt-activation/part-181
12
impliesLblah/watt-activation/part-229
ex:l-layer-depth-axis
exhibitsNearZeroblah/watt-activation/part-229
ex:pairwise-cosine-similarity
multipliesWithblah/watt-activation/part-398
ex:28-planes
hasPairwiseCosineSimilarityblah/watt-activation/228
ex:near-zero
occupiesblah/watt-activation/228
ex:distinct-harmonic-subspace

References (5)

5 references
  1. [1]Part 1221 fact
    ctx:discord/blah/watt-activation/part-122
  2. [2]Part 1811 fact
    ctx:discord/blah/watt-activation/part-181
  3. [3]Part 2292 facts
    ctx:discord/blah/watt-activation/part-229
  4. [4]Part 3981 fact
    ctx:discord/blah/watt-activation/part-398
  5. [5]2282 facts
    ctx:discord/blah/watt-activation/228
    • full textwatt-activation-228
      text/plain3 KBdoc:agent/watt-activation-228/218c4ece-61aa-47aa-a16e-b77f7f994d5f
      Show excerpt
      [2026-03-11 05:23] xenonfun: ⏺ It is, and the math backs it up cleanly. What the network discovered spontaneously is essentially a depth-wise DFT — the same decomposition that LoheFFNv3 uses within each block (ring → DFT modes), but now o

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