Rename neural experiments to descriptive paths (drop N* codes)

configs/neural/{N0,N1,N2,N5}.yaml -> {bridge,collapse,grounding,architectures}.yaml,
results dirs likewise. Updated experiment/output.dir fields, comments/docstrings, and
docs; regenerated the four result manifests (now carrying the real git commit). No
functional path resolution referenced the codes (the Makefile globs configs/neural/*.yaml
and tests use inline configs), so nothing breaks. 92 tests green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Giorgio Gilestro 2026-07-04 21:21:56 +01:00
parent 840b6b00b3
commit aca7b394a3
21 changed files with 82 additions and 78 deletions

View file

@ -1,50 +0,0 @@
experiment: N2_grounding_phase_boundary_neural
kind: gen_lineage
seed: 20260704
n_replicates: 5
# N2 (Layer 1.5 headline, maps to Layer-1 E2): the grounding phase boundary in REAL weights.
# Sweep the grounding fraction g = m/(n+m) and locate the neural critical g* at which
# stationary diversity is restored. Layer 1 found g* = 0.048 << 1. The neural regime (finite
# model capacity, a smaller K so gen-0 fidelity holds) will not reproduce that value exactly
# -- the claim is directional (blueprint 3.5): a critical g* << 1 exists in trained weights,
# i.e. a little grounding protects most of the diversity. Falsifier: stationary H flat in g,
# or only restored as g -> 1.
generations: 30
synthetic:
K: 256
R: 1
tail: zipf
zipf_s: 1.3
tail_frac: 0.5
tail_threshold: 1.0e-3
init: truth
style_len: 3
style_vocab: 5
id_base: 2
model:
kind: rnn
hidden: 128
embed: 24
epochs: 25
lr: 2.0e-3
batch_size: 256
n_eval: 12000
dynamics:
n: 200
grounding: {m: 0, policy: proportional} # m overwritten per g by the sweep
remint: {enabled: false, period: null, H_gate: null}
metrics:
kl_floor: 1.0e-9
support_eps: 1.0e-9
sweep:
- param: g
values: [0.0, 0.005, 0.01, 0.02, 0.05, 0.1, 0.2]
output:
dir: results/N2