E4B regime map (ckpt-salvaged, 150 prompts): no clear workspace signature — sensor L11-22, motor from L23, persistence bump absent; candidate band inside KV-shared zone

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Nils
2026-07-16 01:35:38 +02:00
co-authored by Claude Fable 5
parent dec27a4017
commit 332f7f3622
2 changed files with 30 additions and 2 deletions
+2 -2
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@@ -32,9 +32,9 @@
"hidden": 2560,
"workspace_band": null,
"kv_share_start": 25,
"jbar": "results/jbar_e4b.pt (running 2026-07-15)",
"jbar": "results/jbar_e4b.pt (150/256 prompts \u2014 ckpt-salvaged)",
"scan": "results/exp4_e4b.log",
"status": "scan in progress on Spark; kv sharing: last 18 of 42 layers"
"status": "mapped 2026-07-16, PROVISIONAL: no clear workspace signature. sensor L11-22 (peak 0.36@L22), motor onset L23 rising to 0.52@L41, persistence flat ~0.05-0.13 (E2B's band-entry persistence bump is ABSENT). Candidate thin band L23-28 sits inside the KV-shared zone (L24+) \u2014 band looping likely structurally hampered on E4B. Needs: ignition cross-check + full-prompt jbar top-up before strong claims."
},
"google/gemma-4-31B-it": {
"revision": "b9ea41a2887d8607f594846523f94c6cc75ac8a4",
+28
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@@ -0,0 +1,28 @@
"""Reconstruct regimes_e4b.pt from the exp4_e4b.log table (the scan's
torch.save crashed on a relative path; the printed table is complete).
Provenance note stored in the tensor dict: jbar from 150/256 prompts."""
import re
import torch
sensor, motor, persist, content = [], [], [], []
pat = re.compile(
r"^L\s*(\d+) \| ([\d.]+)\s*#* *\| ([\d.]+)\s*#* *\| ([\d.]+) \| ([\d.]+)")
for line in open("results/exp4_e4b.log"):
m = pat.match(line.strip())
if m:
_, s, mo, p, c = m.groups()
sensor.append(float(s))
motor.append(float(mo))
persist.append(float(p))
content.append(float(c))
assert len(sensor) == 42, len(sensor)
torch.save({"sensor": torch.tensor(sensor), "motor": torch.tensor(motor),
"persist": torch.tensor(persist),
"content": torch.tensor(content),
"note": "reconstructed from exp4_e4b.log; jbar 150/256 prompts"},
"results/regimes_e4b.pt")
print("saved 42 layers")
print("sensor peak: L%d = %.2f" % (sensor.index(max(sensor)), max(sensor)))
print("motor >=0.1 from: L%d" % next(
i for i, v in enumerate(motor) if v >= 0.1))