Lohe
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Lohe has 142 facts recorded in Dontopedia across 28 references, with 8 live disagreements.
Mostly:rdf:type(7), uses(6), is backprop free(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (40)
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.
aboutAbout(1)
- Rotadamw Data Informative for Lohe
ex:rotadamw-data-informative-for-lohe
announcedDiggingIntoDetailedDataAnnounced Digging Into Detailed Data(1)
- Xenonfun
ex:xenonfun
announcedFoundBothProblemsAnnounced Found Both Problems(1)
- Xenonfun
ex:xenonfun
areCompletelyFrozenAre Completely Frozen(1)
- Oscillator Params
ex:oscillator-params
causesNoiseIssueForCauses Noise Issue for(1)
- Random Init
ex:random-init
changesBy3e-6PerStepChanges By3e 6 Per Step(1)
- Coupling
ex:coupling
collaboratesOnCollaborates on(1)
- Team
ex:team
decreasesMonotonicallyDecreases Monotonically(1)
- Val Ppl
ex:val-ppl
describesDescribes(1)
- Val Loss Trajectory
ex:val-loss-trajectory
describesComparisonDescribes Comparison(1)
- Finding 1
ex:finding-1
dominatedByBlockUpdatesDominated by Block Updates(1)
- Performance Metrics
ex:performance-metrics
expectedToImproveExpected to Improve(1)
- Pretrained
ex:pretrained
implyNonlinearExponentialBehaviorImply Nonlinear Exponential Behavior(1)
- Mathematics
ex:mathematics
includesOptimizerIncludes Optimizer(1)
- Phase 3
ex:phase-3
includesSeparateLrOscIncludes Separate Lr Osc(1)
- Fix Proposal
ex:fix-proposal
interferesWithKuramotoSyncInterferes With Kuramoto Sync(1)
- Gradient Normalization
ex:gradient-normalization
involvesOptimizerInvolves Optimizer(1)
- Smoketest Result
ex:smoketest-result
isActivatedByIs Activated by(1)
- Physics Gate
ex:physics-gate
isGradientNormalizationKillingMagnitudeIs Gradient Normalization Killing Magnitude(1)
- Problem 1
ex:problem-1
isLowerFidelityUpdateIs Lower Fidelity Update(1)
- Linearized Gradient
ex:linearized-gradient
isLr1e-4OverDampeningOscillatorParamsIs Lr1e 4 Over Dampening Oscillator Params(1)
- Problem 2
ex:problem-2
isPotentialImprovementOverIs Potential Improvement Over(1)
- H D Version
ex:h-d-version
measuredByValPplMeasured by Val Ppl(1)
- Quality
ex:quality
measuresSpeedMeasures Speed(1)
- Tokens Per Second
ex:tokens-per-second
notLookingGoodNot Looking Good(1)
- Smoketest Results
ex:smoketest-results
preservesGradientMagnitudeFor1dOscillatorParamsPreserves Gradient Magnitude For1d Oscillator Params(1)
- Fix Proposal
ex:fix-proposal
previouslySuggestedWorsePerformancePreviously Suggested Worse Performance(1)
- Old 12l Numbers
ex:old-12l-numbers
providesRealOrderParameterToProvides Real Order Parameter to(1)
- Form 2
ex:form-2
questionsMonotonicLinearBehaviorQuestions Monotonic Linear Behavior(1)
- Lisamegawatts
ex:lisamegawatts
relatesToRelates to(1)
- Rotational Adam W
ex:rotational-adam-w
reportsExperimentalResultsReports Experimental Results(1)
- Xenonfun
ex:xenonfun
sharesGpuUsageWithShares Gpu Usage With(1)
- Spsa
ex:spsa
shouldPerformMuchBetterShould Perform Much Better(1)
- Pretrained Checkpoint
ex:pretrained-checkpoint
showsStabilityShows Stability(1)
- Val Loss Trajectory
ex:val-loss-trajectory
signalsPhysicsModeSignals Physics Mode(1)
- R Global
ex:r-global
suspectsNormalizationInterferesWithSignalingSuspects Normalization Interferes With Signaling(1)
- Lisamegawatts
ex:lisamegawatts
trainedWithTrained With(1)
- Experiment Setup
ex:experiment-setup
usedInGatingUsed in Gating(1)
- R Global
ex:r-global
usesDirectlyInUses Directly in(1)
- Fix for Zero Padding
ex:fix-for-zero-padding
usesOptimizerUses Optimizer(1)
- Test 2
ex:test-2
Other facts (135)
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 |
|---|---|---|
| Rdf:type | Algorithm | [21] |
| Rdf:type | Software System | [22] |
| Rdf:type | Optimizer Class | [23] |
| Rdf:type | Optimization Algorithm | [24] |
| Rdf:type | Optimizer | [25] |
| Rdf:type | Optimizer | [26] |
| Rdf:type | Software Component | [28] |
| Uses | Kan Gates | [1] |
| Uses | Linearized Error Propagation | [1] |
| Uses | Harmonic Decomposition | [1] |
| Uses | Rotational Updates | [1] |
| Uses | Lohe Synchronization | [1] |
| Uses | Linearized Error Propagation | [12] |
| Is Backprop Free | true | [1] |
| Is Backprop Free | true | [12] |
| Has Val Ppl | 1119933.4 | [2] |
| Has Val Ppl | 349.9 | [10] |
| Has Val Loss | 13.9288 | [2] |
| Has Val Loss | 5.8577 | [10] |
| At Step | Step 200 | [10] |
| At Step | Step 100 | [10] |
| Has Metric Value | 0.59 | [21] |
| Has Metric Value | 5.8 | [21] |
| Interpretation | no phase ordering | [21] |
| Interpretation | not learning structure from scratch | [21] |
| Has Built in | Harmonic Decomposition | [1] |
| Integrates Ka Ngates | true | [1] |
| Captures Attention Order Parameters Via | Hooks | [1] |
| Captures Via Hooks | Attention Order Parameters | [1] |
| Is Numbered | 4 | [1] |
| Feeds Back Into | Optimization | [1] |
| Is Not Viable at | this depth/scale | [2] |
| Completely Diverged | true | [2] |
| Has Tr Loss | 13.6893 | [2] |
| Has Tokens Per Sec | 21902 | [2] |
| Uses Backprop | no | [2] |
| Presupposes Mean Field Limit | true | [2] |
| Has Ppl Approx | 1000000 | [2] |
| Has Highest Loss | Experiment Setup | [2] |
| Deemed Not Viable | true | [2] |
| Has Vs Unig | 7.2888 | [2] |
| Uses Gpu Gb | 3 | [2] |
| Has Fastest Tok Per Sec | 21902 | [2] |
| Has Ms Per Step | 181 | [2] |
| Has Tr Ppl | 881394.4 | [2] |
| Achieves Ppl | 27.9 | [3] |
| Exists Currently | current | [3] |
| Relates to | Boltzmann Distribution | [4] |
| Has Internal | Get Temperature Scheduler | [4] |
| With Coupling | 0.2 | [5] |
| Uses Lr Ffn | 0.06 | [5] |
| Causes Rotation | Weight Updates | [5] |
| Depends on | Features Tensor | [5] |
| Is for | Backprop Free Fine Tune | [5] |
| Has Speed Advantage | 17K vs 11.6K tok/s | [6] |
| Experiences No Crash | During Training | [6] |
| Confirms Compatibility With | Lohe V2 Ffn | [6] |
| Has Recommended Use Case | Fine Tune From Pretrained Only | [6] |
| Presupposes Pretrained Models Exist | For Fine Tuning | [6] |
| Expected to Converge | true | [7] |
| References Harmonic Mlx Repo | Github Link | [7] |
| Has Oscillator Parameters | Kappa | [7] |
| Faster Wall Time | 2.2 min | [7] |
| Involves1d Oscillator Params | true | [7] |
| Is Linearized Gradient Method | true | [7] |
| Performs Poorly on | Pretrained Checkpoint | [8] |
| Actively Destroying | Checkpoint | [8] |
| Started From | Val Ppl 417 Pretrained | [8] |
| Is Spiking to | 15-17 | [8] |
| Gates Using | R Global | [9] |
| Uses Gate | 4·r·(1-r) | [9] |
| Returned to | Working State | [10] |
| Has Wall Time S | 54.5 | [10] |
| Has Tok Per S | 15030 | [10] |
| Has Train Loss | 5.909 | [10] |
| Confirmed Working | true | [10] |
| Presupposes Prior Non Working State | Working State | [10] |
| Preferred Optimizer | true | [10] |
| Adapts to Attention Type | Lohe Spherical | [11] |
| Detects Automatically | R Global | [11] |
| Switches to | Physics Gate | [11] |
| Advertised As | Backprop Free Linearized | [12] |
| Is | Optimizer | [12] |
| Syncs Without Backprop | Lohe Sync | [13] |
| Previously Used Hardcoded R | 0.5 | [13] |
| Never Run With | Form 2 Gate Active | [13] |
| Presupposes No Backprop Viability | Lohe Sync | [13] |
| Works on | Finetune | [14] |
| Seemed to Work Only on | Finetune | [14] |
| Fails to Reduce Loss on | Pretraining or Smoketest | [14] |
| Lacks Awareness of | Loss Decrease | [14] |
| Related to Historical | Synchronization Optimizers | [15] |
| Has Forward Only Path | true | [16] |
| Optimizes | Sphere Geometry | [17] |
| Is Compared to | Rot Adam W | [17] |
| Optimizes Directly | Sphere Geometry | [17] |
| Outperforms | Rot Adam W | [17] |
| Rejects Form2 Lohe Attention When | H Not Equals 4 | [18] |
| Avoids Autograd Backward | true | [19] |
| Measured at Scale | Six Layer Scale | [19] |
Timeline
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References (28)
ctx:discord/blah/watt-activation/part-117ctx:discord/blah/watt-activation/part-121ctx:discord/blah/watt-activation/part-123ctx:discord/blah/watt-activation/part-179ctx:discord/blah/watt-activation/part-191ctx:discord/blah/watt-activation/part-183ctx:discord/blah/watt-activation/part-192ctx:discord/blah/watt-activation/part-190ctx:discord/blah/watt-activation/part-199ctx:discord/blah/watt-activation/part-196ctx:discord/blah/watt-activation/part-201ctx:discord/blah/watt-activation/part-189ctx:discord/blah/watt-activation/part-205ctx:discord/blah/watt-activation/part-214ctx:discord/blah/watt-activation/part-211ctx:discord/blah/watt-activation/part-221ctx:discord/blah/watt-activation/part-228ctx:discord/blah/watt-activation/part-261ctx:discord/blah/watt-activation/part-294ctx:discord/blah/watt-activation/part-213ctx:discord/blah/watt-activation/186- full textwatt-activation-186text/plain3 KB
doc:agent/watt-activation-186/28dd0cf1-877b-4d3c-8650-c102a40c3031Show excerpt
[2026-03-10 03:00] lisamegawatts: might need to feed it how to compute these [2026-03-10 03:00] xenonfun: `logs/phase_metrics_20260309_225648.jsonl` log collections ``` {"r": 0.6015, "b": 5.6972, "pm": 0.2788, "pv": 0.1787}, {"r": 0.5995, "…
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doc:agent/watt-activation-188/0b24c5f9-ca6d-47b7-9d97-98b6fac36e0cShow excerpt
[2026-03-10 03:16] xenonfun: well I imagine data from working RotAdamW will be informative for it as to how to correct behavior / step issues in LoheOptimizer [2026-03-10 03:17] xenonfun: also that will be recorded [2026-03-10 03:38] xenonf…
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doc:agent/watt-activation-189/ee6e7700-8f8f-458c-bd97-cd00204ffe29Show excerpt
[2026-03-10 03:42] xenonfun: ``` What the fix looks like: Coupling κ_g is a scalar per group. Its gradient through the sync step is tractable: at first order, Δcoupling_g ∝ -(∂loss/∂spectra_synced) · (mean_spec_g - spectra_g) — the reado…
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doc:agent/watt-activation-190/afd2a2d6-55fc-43d9-9655-83cd2755213fShow excerpt
[2026-03-10 03:51] xenonfun: ⏺ The fix is working. Here's the comparison: ``` ┌────────────────┬────────────────┬────────────────────────────┐ │ Metric │ Before fix │ After fix │ ├────────────────┼────────…
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doc:agent/watt-activation-210/20d41130-276e-4126-8cde-1fc6d9275db1Show excerpt
[2026-03-11 03:59] omega [bot]: The spectral and harmonic signatures being equivalent means that the graph spectral decomposition (eigenvalues/eigenvectors of graph Laplacian or adjacency) directly corresponds to the harmonic modes of the s…
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doc:agent/watt-activation-220/5c7f4a28-90e7-46de-ae1e-9e19a58c8d65Show excerpt
[2026-03-11 04:42] xenonfun: FFN DFT — much richer specialization than spectral: ``` ┌─────┬───────┬────────┬────────────────┬────────────────┐ │ blk │ r │ FFN DC │ dominant mode │ pattern │ ├─────┼───────┼────────┼───────…
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doc:agent/watt-activation-227/68739c39-b81e-46d6-a743-64f53964d850Show excerpt
[2026-03-11 05:22] xenonfun: ⏺ The data shows it clearly. The gelation onset is between step 100 and step 200: step loss b9_r b10_r b11_r b10−b11 b9_disorder 100 11.80 0.363 0.347 0.362 −0.014 −0.016 ← symmetric, …
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doc:agent/watt-activation-292/126da404-b457-4703-9947-909873e9c37aShow excerpt
[2026-03-14 03:52] xenonfun: ``` ⏺ There it is: LOHE OPTIMIZER STEP BREAKDOWN (492.5 ms total, 66.5K tok/s) ├── Forward + capture: 143.4 ms (29%) — same as RotAdamW forward ├── Block updates: 344.3 ms (70%) ← THE …
See also
- Kan Gates
- Harmonic Decomposition
- Linearized Error Propagation
- Hooks
- Attention Order Parameters
- Optimization
- Rotational Updates
- Lohe Synchronization
- Experiment Setup
- Boltzmann Distribution
- Get Temperature Scheduler
- Weight Updates
- Features Tensor
- Backprop Free Fine Tune
- During Training
- Lohe V2 Ffn
- Fine Tune From Pretrained Only
- For Fine Tuning
- Github Link
- Kappa
- Pretrained Checkpoint
- Checkpoint
- Val Ppl 417 Pretrained
- R Global
- Working State
- Step 200
- Step 100
- Lohe Spherical
- Physics Gate
- Backprop Free Linearized
- Optimizer
- Lohe Sync
- Form 2 Gate Active
- Finetune
- Pretraining or Smoketest
- Loss Decrease
- Synchronization Optimizers
- Sphere Geometry
- Rot Adam W
- H Not Equals 4
- Six Layer Scale
- Lohe Optimizer Step Breakdown
- Rotadamw
- Block Update Cost
- Rotadamw Backward
- Algorithm
- Software System
- Optimizer Class
- Optimization Algorithm
- Spiking Behavior
- Optimizer
- Forward Only Path
- Gelation Attractor
- Gradient Based Optimizer
- Software Component
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