Training Context 1
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Training Context 1 has 3 facts recorded in Dontopedia across 1 reference.
3 facts·3 predicates·1 sources
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (3)
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.
3 facts
| Predicate | Value | Ref |
|---|---|---|
| Operates at Scale | Gpt 2 Scale | [1] |
| Has Data Volume | ~136M tokens | [1] |
| Overfitting Level | insufficient-to-need-dropout | [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.
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operatesAtScaleblah/watt-activation/160
ex:gpt-2-scale
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hasDataVolumeblah/watt-activation/160
~136M tokens
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overfittingLevelblah/watt-activation/160
insufficient-to-need-dropout
References (1)
1 references
ctx:discord/blah/watt-activation/160- full textwatt-activation-160text/plain2 KB
doc:agent/watt-activation-160/83f1326e-5f35-47f2-901e-bb1cc61a1eaeShow excerpt
[2026-03-09 16:37] xenonfun: ⏺ With dropout=0.0, the dropout layers are no-ops — they pass through unchanged during both training and inference. So model.train(False) vs model.train(True) makes no difference for our current config. It …
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