Layer 2 Train Loop Integration
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Layer 2 Train Loop Integration has 7 facts recorded in Dontopedia across 1 reference.
Mostly:describes existing loop behavior(1), trigger point(1), reads attribute(1)
Maturity scale
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hasLayerHas Layer(1)
- Two Layer Plan
ex:two-layer-plan
Other facts (7)
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| Predicate | Value | Ref |
|---|---|---|
| Describes Existing Loop Behavior | model(x) to compute loss | [1] |
| Trigger Point | After mx.eval | [1] |
| Reads Attribute | block.ffn._last_metrics | [1] |
| Target Scope | each block | [1] |
| Proposes Logging | Jsonl Sidecar | [1] |
| Optional Aggregation | System Beta | [1] |
| Optional Logging Action | log it as a scalar alongside loss/ppl | [1] |
Timeline
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References (1)
ctx:discord/blah/watt-activation/183- full textwatt-activation-183text/plain3 KB
doc:agent/watt-activation-183/aa64c83c-e728-416e-9b09-62cb1782add2Show excerpt
[2026-03-10 02:09] xenonfun: ``` Key findings: 1. RotationalAdamW: strong convergence from scratch (9.9→7.6 train loss), consistent 11.6K tok/s — expected baseline for cl100k vocab (lower than BPE-8K benchmark's 22K due to 100K-class l…
See also
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