Random Init
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Random Init has 10 facts recorded in Dontopedia across 7 references, with 1 live disagreement.
Mostly:sanity check value for(2), precedes(1), implies decoherence(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
associatedWithAssociated With(1)
- Disordered Phase
ex:disordered-phase
assumesRandomInitializationAssumes Random Initialization(1)
- Test 1
ex:test-1
atAt(1)
- R
ex:r
conditionCondition(1)
- Gate 0.54 at Random Init
ex:gate-0.54-at-random-init
expectedAtExpected at(1)
- Cross Layer Decoherence
ex:cross-layer-decoherence
noisyAtInitNoisy at Init(1)
- Features
ex:features
notFromNot From(1)
- Ω I
ex:ω_i
startsWithStarts With(1)
- From Scratch Training
ex:from-scratch-training
Other facts (10)
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.
| Predicate | Value | Ref |
|---|---|---|
| Sanity Check Value for | r | [6] |
| Sanity Check Value for | beta | [6] |
| Precedes | 2k Iters | [1] |
| Implies Decoherence | Cross Layer | [2] |
| Has Gate Value | 0.54 | [3] |
| Has R Value | ≈0.16 | [3] |
| Is Slower Than | Fine Tune Start | [3] |
| Produces Disordered Regime | null | [4] |
| Causes Noise Issue for | Lohe Optimizer | [5] |
| Rdf:type | Training Phase | [7] |
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 (7)
ctx:discord/blah/watt-activation/part-75ctx:discord/blah/watt-activation/part-187ctx:discord/blah/watt-activation/part-199ctx:discord/blah/watt-activation/part-185ctx:discord/blah/watt-activation/part-205ctx:discord/blah/watt-activation/185- full textwatt-activation-185text/plain3 KB
doc:agent/watt-activation-185/fcee3d0e-68fc-4f0b-ad9d-157115bfbadeShow excerpt
[2026-03-10 02:38] lisamegawatts: i think this part is wrong, it should not init at zero they need frequencies. i also don't think it needs gelu, the linear error is inherently in the sphere; The Lohe sphere model, a generalization of the K…
ctx:discord/blah/watt-activation/198- full textwatt-activation-198text/plain2 KB
doc:agent/watt-activation-198/ea2dbbd7-7d1c-4ba2-9281-56322a048288Show excerpt
[2026-03-10 06:11] xenonfun: ``` ⏺ --- Summary #1 — features tensor restored One line in lohe_ffn.py. The optimizer already had the branch ready (if 'features' in metrics:). What activates now: - W_out[:, 32..92] (weighted harmon…
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.