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:
@@ -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",
|
||||
|
||||
@@ -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))
|
||||
Reference in New Issue
Block a user