Step 400
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Step 400 has 73 facts recorded in Dontopedia across 9 references, with 10 live disagreements.
73 facts·54 predicates·9 sources·10 in dispute
Mostly:has loss(5), has ppl(3), has tok per s(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
hasStepHas Step(1)
- Experiment Lohe Spherical Lohe V2 Run2
ex:experiment-lohe-spherical-lohe-v2-run2
occurAtStep400Occur at Step400(1)
- Ham Diagnostics
ex:ham-diagnostics
occursByOccurs by(1)
- Stabilization
ex:stabilization
stabilizesByStepStabilizes by Step(1)
- Trajectory Run 1
ex:trajectory-run-1
temporalPrecedesTemporal Precedes(1)
- Step Approx 200
ex:step-approx-200
validatesAtStepValidates at Step(1)
- Validation 400
ex:validation-400
Other facts (71)
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.
71 facts
| Predicate | Value | Ref |
|---|---|---|
| Has Loss | 8.7389 | [1] |
| Has Loss | 17.1052 | [2] |
| Has Loss | 8.7125 | [3] |
| Has Loss | 8.8338 | [4] |
| Has Loss | 8.972 | [7] |
| Has Ppl | 6241.2 | [1] |
| Has Ppl | 26834984.3 | [2] |
| Has Ppl | 6078.7 | [3] |
| Has Tok Per S | 17158 | [2] |
| Has Tok Per S | 8613 | [3] |
| Has Tok Per S | 78995 | [5] |
| Rdf:type | Training Step | [6] |
| Rdf:type | Training Step | [8] |
| Rdf:type | Training Step | [9] |
| Eta | 171min | [1] |
| Eta | 31min | [8] |
| Has Lr | 8.00e-05 | [1] |
| Has Lr | 0.0001 | [5] |
| Has Elapsed Time | 202s | [3] |
| Has Elapsed Time | 117 | [7] |
| Has Attn R | 0.671 | [3] |
| Has Attn R | 0.6331 | [4] |
| Has Ham Drift | 0.835 | [5] |
| Has Ham Drift | 0.835 | [9] |
| Tokens Per Second | 15114 | [6] |
| Tokens Per Second | 173788 | [8] |
| Has Tokens Per Second | 14838 | [7] |
| Has Tokens Per Second | 78995 | [9] |
| Tok Per S | 13007 | [1] |
| Step Time | 630ms | [1] |
| Progress | 2.4% | [1] |
| Elapsed | 103 | [2] |
| Has Tok Per Sec | 15114 | [4] |
| Has Elapsed Secs | 113 | [4] |
| Has Ppl | 6862.4 | [4] |
| Has Extra Time | +40ms | [4] |
| Has R | 0.219 | [5] |
| Has Bpb | 3.331 | [5] |
| Has C | 0.8 | [5] |
| Has Eta Min | 68 | [5] |
| Has Gpu Util | 94 | [5] |
| Has Ham Slots | 16 | [5] |
| Has Ham Wg | 0.58 | [5] |
| Has Memory Mb | 4647 | [5] |
| Has Power W | 21.9 | [5] |
| Has Progress Percent | 2 | [5] |
| Has Snr Db | -13 | [5] |
| Is of Total | 20000 | [5] |
| Loss Value | 8.8338 | [6] |
| Perplexity Value | 6862.4 | [6] |
| Elapsed Time | 113s | [6] |
| Attn R Value | 0.6331 | [6] |
| Step Overhead | +40ms | [6] |
| Step Number | 400 | [7] |
| Part of | Training Run 20260311 001319 | [7] |
| Has Perplexity | 7879.4 | [7] |
| Progress Percent | 0.02 | [8] |
| Has Metric Bpb | 3.335 | [8] |
| Has Metric R | 0.246 | [8] |
| Has Metric Snr | -11.9 | [8] |
| Has Metric C | 1.0b | [8] |
| Learning Rate | 0.0001 | [8] |
| Power Draw | 40.4W | [8] |
| Gpu Utilization | 0.93 | [8] |
| Memory Usage | 4584MB | [8] |
| Has Step Index | 400 | [9] |
| Has Bpb Value | 3.331 | [9] |
| Has Learning Rate | 0.0001 | [9] |
| Has Ham Write Gate | 0.58 | [9] |
| Has Power Usage | 21.9W | [9] |
| Has Memory Usage | 4647MB | [9] |
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.
—
tokPerSblah/watt-activation/part-125
13007
—
stepTimeblah/watt-activation/part-125
630ms
—
progressblah/watt-activation/part-125
2.4%
—
etablah/watt-activation/part-125
171min
—
hasLossblah/watt-activation/part-125
8.7389
—
hasPplblah/watt-activation/part-125
6241.2
—
hasLrblah/watt-activation/part-125
8.00e-05
—
hasLossblah/watt-activation/part-189
17.1052
—
hasPplblah/watt-activation/part-189
26834984.3
—
elapsedblah/watt-activation/part-189
103
—
hasTokPerSblah/watt-activation/part-189
17158
—
hasPplblah/watt-activation/part-202
6078.7
—
hasLossblah/watt-activation/part-202
8.7125
—
hasTokPerSblah/watt-activation/part-202
8613
—
hasElapsedTimeblah/watt-activation/part-202
202s
—
hasAttnRblah/watt-activation/part-202
0.671
—
hasTokPerSecblah/watt-activation/part-203
15114
—
hasElapsedSecsblah/watt-activation/part-203
113
—
hasPPLblah/watt-activation/part-203
6862.4
—
hasLossblah/watt-activation/part-203
8.8338
—
hasAttnRblah/watt-activation/part-203
0.6331
—
hasExtraTimeblah/watt-activation/part-203
+40ms
—
hasRblah/watt-activation/part-377
0.219
—
hasBpbblah/watt-activation/part-377
3.331
—
hasCblah/watt-activation/part-377
0.8
—
hasEtaMinblah/watt-activation/part-377
68
—
hasGpuUtilblah/watt-activation/part-377
94
—
hasHamDriftblah/watt-activation/part-377
0.835
—
hasHamSlotsblah/watt-activation/part-377
16
—
hasHamWgblah/watt-activation/part-377
0.58
—
hasLrblah/watt-activation/part-377
0.0001
—
hasMemoryMbblah/watt-activation/part-377
4647
—
hasPowerWblah/watt-activation/part-377
21.9
—
hasProgressPercentblah/watt-activation/part-377
2
—
hasTokPerSblah/watt-activation/part-377
78995
—
hasSnrDbblah/watt-activation/part-377
-13
—
isOfTotalblah/watt-activation/part-377
20000
—
typeblah/watt-activation/202
ex:TrainingStep
—
lossValueblah/watt-activation/202
8.8338
—
perplexityValueblah/watt-activation/202
6862.4
—
tokensPerSecondblah/watt-activation/202
15114
—
elapsedTimeblah/watt-activation/202
113s
—
attnRValueblah/watt-activation/202
0.6331
—
stepOverheadblah/watt-activation/202
+40ms
—
labelblah/watt-activation/214
Step 400
—
stepNumberblah/watt-activation/214
400
—
partOfblah/watt-activation/214
ex:training-run-20260311-001319
—
hasLossblah/watt-activation/214
8.972
—
hasPerplexityblah/watt-activation/214
7879.4
—
hasTokensPerSecondblah/watt-activation/214
14838
—
hasElapsedTimeblah/watt-activation/214
117
—
labelblah/watt-activation/370
Step 400
—
typeblah/watt-activation/370
ex:TrainingStep
—
progressPercentblah/watt-activation/370
0.02
—
hasMetricBPBblah/watt-activation/370
3.335
—
hasMetricRblah/watt-activation/370
0.246
—
hasMetricSNRblah/watt-activation/370
-11.9
—
hasMetricCblah/watt-activation/370
1.0b
—
learningRateblah/watt-activation/370
0.0001
—
tokensPerSecondblah/watt-activation/370
173788
—
etablah/watt-activation/370
31min
—
powerDrawblah/watt-activation/370
40.4W
—
gpuUtilizationblah/watt-activation/370
0.93
—
memoryUsageblah/watt-activation/370
4584MB
—
typeblah/watt-activation/375
ex:TrainingStep
—
hasStepIndexblah/watt-activation/375
400
—
hasBpbValueblah/watt-activation/375
3.331
—
hasLearningRateblah/watt-activation/375
0.0001
—
hasTokensPerSecondblah/watt-activation/375
78995
—
hasHamWriteGateblah/watt-activation/375
0.58
—
hasHamDriftblah/watt-activation/375
0.835
—
hasPowerUsageblah/watt-activation/375
21.9W
—
hasMemoryUsageblah/watt-activation/375
4647MB
References (9)
9 references
ctx:discord/blah/watt-activation/part-125ctx:discord/blah/watt-activation/part-189ctx:discord/blah/watt-activation/part-202ctx:discord/blah/watt-activation/part-203ctx:discord/blah/watt-activation/part-377ctx:discord/blah/watt-activation/202- full textwatt-activation-202text/plain3 KB
doc:agent/watt-activation-202/bfa1acbb-7492-43ef-befc-99b62acad42aShow excerpt
[2026-03-10 06:54] xenonfun: ``` lohe_spherical+lohe_v2 summary: train loss (last 50): 7.8510 ppl=2568.3 val loss (final): 7.8019 ppl=2445.1 sys_r @1000: 0.8817 global_r @1000: 0.2008 attn_r @1000:…
ctx:discord/blah/watt-activation/214- full textwatt-activation-214text/plain2 KB
doc:agent/watt-activation-214/6ebedb80-7ad3-4d5e-8432-4c87da7e9ad5Show excerpt
[2026-03-11 04:17] xenonfun: ``` Model: lohe_spherical+lohe_v3 768d 12L 12H vocab=100277 Steps: 1000 BS=4 SEQ=1024 (4.1M tokens/run) Phase metrics sidecar → logs/phase_metrics_lohe_spherical_20260311_001319.jsonl ====================…
ctx:discord/blah/watt-activation/370- full textwatt-activation-370text/plain3 KB
doc:agent/watt-activation-370/319ffc75-f6e3-490e-bf32-ddb97e36692cShow excerpt
[2026-03-18 17:29] xenonfun: ⏺ Here's the status: Implementation complete and pushed: - AnchorBind module in harmonic_mlx/antenna.py — 32 soft anchors on S^{d_bind-1}, softmax assignment, residual fusion - Wired into AntennaHarmonicB…
ctx:discord/blah/watt-activation/375- full textwatt-activation-375text/plain3 KB
doc:agent/watt-activation-375/d401bcdc-528d-4d93-9c65-cd9f177804a5Show excerpt
[2026-03-18 19:30] xenonfun: ``` checkpoint dir: checkpoints/ham_G16_20K ──────────────────────────────────────────────────────────────────────── step 200/20000 1.0% BPB=4.149 r=0.228 SNR=-12.7dB C=0.7b lr=9.95e-05 80,154tok/s …
See also
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