Dontopedia

Inference Training Mismatch

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

Inference Training Mismatch has 4 facts recorded in Dontopedia across 1 reference.

4 facts·4 predicates·1 sources

Mostly:inference behavior(1), training behavior(1), resulted state(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

fixesBugFixes Bug(1)

Other facts (4)

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.

4 facts
PredicateValueRef
Inference Behaviorused skip_proj_out[1]
Training Behaviorran proj_out[1]
Resulted Statetrained projection weights were unused[1]
Resulted in ArtifactLetter Soup Generation[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.

inferenceBehaviorblah/watt-activation/688
used skip_proj_out
trainingBehaviorblah/watt-activation/688
ran proj_out
resultedStateblah/watt-activation/688
trained projection weights were unused
resultedInArtifactblah/watt-activation/688
ex:letter-soup-generation

References (1)

1 references
  1. [1]6884 facts
    ctx:discord/blah/watt-activation/688
    • full textwatt-activation-688
      text/plain2 KBdoc:agent/watt-activation-688/c906019e-36e3-405f-9593-66604c9a0e79
      Show excerpt
      [2026-04-28 06:16] xenonfun: ⏺ Recent commits on lisa-geometric (newest first): - 5bca36c — Added V2LisaSumF64 preset + E20 script (T=4096, f64 S1 accumulator for stability at long contexts; ~262M tokens, ~3.8h). - 85c49a1 — Added V2Li

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.