Neural Net (Pruned 90%)

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What It Is

Pruned neural network weights (90% zero) --- extreme sparsity typical of compressed models. Zeros encode as byte 0; non-zero weights scaled to [1, 255] preserving sign via abs

Interpretation

Standard analysis sees: heavy-tailed; right-skewed; few distinct values; aperiodic / broadband; low-complexity (predictable, not noise-like); homoskedastic; multifractal. The atlas finds no named structure, but the source is distinctively extreme on SL(2,ℝ) (Thurston):lyapunov_exponent (+2.8z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.95
asymmetry0.98
occupancy0.07
short-range corr0.21
long-range memory0.46
spectral colour0.78
periodicity0.14
complexity0.15
time-irreversibility0.71
volatility clustering0.13
multifractality0.96
dimensionality0.17
nonstationarity0.57
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
SL(2,ℝ) (Thurston):lyapunov_exponent+2.8zbank-miss 1.0σ
Hodge–Laplacian:source_fraction-2.3zbank-miss 1.2σ
Möbius-S³:spinorial_asymmetry+2.0zbank-miss 2.2σ

Composition

dtypeuint8
range[0, 255]
unique values192 / 16384
mean ± std5.7 ± 22.1

Render Gallery

Atlas Position

Nearest neighborDistance
Poker Hands4.29cross-domain
Sensor Event Stream4.54cross-domain
Rainfall (ORD Hourly)4.59cross-domain

Open in Atlas →

Which Geometries Light Up

2-adic2-adic:mean_distancerank 294/2980.1145
Catch24Catch24:SB_TransitionMatrix_3ac_sumdiagcovrank 5/2980.1991
E8 LatticeE8 Lattice:std_profilerank 2/2988.4853
Gottwald-MelbourneGottwald-Melbourne:angular_spectral_structurerank 297/2980.4353
Julia SetJulia Set:escape_entropyrank 3/2984.4550
MoiréMoiré:moire_invariance_breadthrank 295/2980.0032
Ordinal PartitionOrdinal Partition:markov_mixingrank 5/2980.9946
Sol (Thurston)Sol (Thurston):z_variancerank 294/2980.0180
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