Attention Layers
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Attention Layers has 5 facts recorded in Dontopedia across 3 references.
Mostly:must adapt for(1), need to adapt to(1), require high precision(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedMust Adapt formustAdaptFor
- Text Context Propagation[1]all time · Part 253
Need to Adapt toneedToAdaptTo
- Pass Text Context[1]all time · Part 253
Require High PrecisionrequireHighPrecision
- null[3]all time · Part 279
Required AdaptationrequiredAdaptation
- adapt to pass text context[2]sourceall time · 252
Rdf:typerdf:type
- Model Component[2]all time · 252
Inbound mentions (3)
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.
appliesToApplies to(1)
- Routing Between Layers
ex:routing-between-layers
containsAttentionLayersContains Attention Layers(1)
- Mlx Branch
ex:mlx-branch
containsCodeContains Code(1)
- Mlx Branch
ex:mlx-branch
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.
References (3)
- custom
ctx:discord/blah/watt-activation/part-253 - custom
ctx:discord/blah/watt-activation/252- full textwatt-activation-252text/plain3 KB
doc:agent/watt-activation-252/6d166c37-2aa4-4774-9f84-cbea16ee387fShow excerpt
[2026-03-12 14:37] xenonfun: Clean run. Summary: - 9.7 min, 293 img/s average — nailed the speed estimate - Train loss: 0.469 → 0.344 - Val loss: 0.447 → 0.330 (best at step 15500) - Best checkpoint: checkpoints/diffusion/best T…
- custom
ctx:discord/blah/watt-activation/part-279
See also
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