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wassname
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Audit of all 4 plot scripts (plot_dynamics/substrate/emergence/deploy_overlay): - One save_fig(fig, path) helper in figs.py writes png+svg+pdf (vector for the paper, png for the blog). All scripts call it. - arm_label() map: reader-facing names only -- route2->route, drop 'knob'/'the cheat' from titles and the train-vs-deploy story (adapter on/off, reward hack). - Titles off by default (the paper/blog caption carries it); --title re-enables for standalone research use. - dump_data CSV now carries every plotted series; plot_dynamics --from-csv re-renders the three figures from the committed CSV with no logs (logs/ and out/runs/ are gitignored; out/figs/*.csv is tracked). Round-trip verified. - Commit the regenerated dyn_sub4 figures in all 3 formats + the CSV. Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
107 lines
4.0 KiB
Python
107 lines
4.0 KiB
Python
"""Phase-1 emergence plot: does each loophole emerge under vanilla GRPO?
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One line per env_mode. Row 0 = hack rate (exploited, red-ish) + solve (gt_correct,
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green-ish); a loophole "emerges" if hack rises from ~0. Single-seed by default
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(pass more logs to overlay seeds). Reuses plot_dynamics.parse_log so the column
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parsing stays in one place; groups by env_mode (from argv --env-mode) instead of
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intervention-arm (all emergence runs are vanilla, so arm grouping collapses them).
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Usage:
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uv run python scripts/plot_emergence.py logs/*_emerge_*.log
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uv run python scripts/plot_emergence.py logs/ --out out/figs/emergence.png
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"""
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from __future__ import annotations
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import argparse
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import re
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from collections import defaultdict
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from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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from loguru import logger
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from projected_grpo.figs import link_latest, save_fig
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from plot_dynamics import _ema, _gather, _onset, parse_log
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# Captioned downstream, so the title just restates the caption. --title re-enables.
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SHOW_TITLE = False
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# Distinct hue per mode (qualitative). solve drawn dashed in the same hue so each
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# mode's hack/solve pair reads together.
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MODE_COLORS = {
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"run_tests": "#c1432b",
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"eq_override": "#33508c",
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"exit_code": "#b8860b",
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}
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def _env_mode(path: Path) -> str:
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txt = path.read_text(errors="replace")
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m = re.findall(r"--env-mode[= ](\w+)", txt)
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if m:
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return m[-1]
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# default run_tests env when the flag is absent (old-style logs)
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return "run_tests"
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def plot(runs_by_mode: dict[str, list[dict]], out: Path) -> None:
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modes = [m for m in MODE_COLORS if m in runs_by_mode] + \
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[m for m in runs_by_mode if m not in MODE_COLORS]
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fig, ax = plt.subplots(figsize=(6.0, 3.8))
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for mode in modes:
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rs = runs_by_mode[mode]
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color = MODE_COLORS.get(mode, "#555555")
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# mean-of-EMA hack and solve across whatever seeds were passed
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for key, ls, lbl in [("hack_s", "-", "hack"), ("gt_s", (0, (4, 2)), "solve")]:
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stacked = [_ema(r[key]) for r in rs]
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L = min(len(y) for y in stacked)
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ym = np.nanmean(np.stack([y[:L] for y in stacked]), axis=0)
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xm = rs[0]["steps"][:L]
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ax.plot(xm, ym, color=color, lw=2.0 if key == "hack_s" else 1.2,
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ls=ls, solid_capstyle="round")
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if key == "hack_s":
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ax.annotate(mode, (xm[-1], ym[-1]), color=color, fontsize=8,
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xytext=(4, 0), textcoords="offset points", va="center")
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onsets = [s for r in rs if (s := _onset(r["steps"], r["hack_s"])) is not None]
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if onsets:
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s0 = float(np.mean(onsets))
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ax.axvline(s0, color=color, lw=0.7, ls=(0, (2, 3)), alpha=0.5, zorder=0)
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ax.set_ylim(0, 1)
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ax.set_xlabel("optimizer step")
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ax.set_ylabel("rate")
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ax.spines["top"].set_visible(False)
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ax.spines["right"].set_visible(False)
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ax.tick_params(labelsize=8)
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if SHOW_TITLE:
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ax.set_title("Loophole emergence under vanilla GRPO "
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"(solid=hack/exploited, dashed=solve/gt_correct; EMA-5)", fontsize=9)
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fig.tight_layout()
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save_fig(fig, out)
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logger.info(f"wrote {out} (modes={modes})")
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def main() -> None:
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ap = argparse.ArgumentParser(description=__doc__)
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ap.add_argument("logs", nargs="+", help="log files, globs, or dirs")
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ap.add_argument("--out", type=Path, default=Path("out/figs/emergence.png"))
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args = ap.parse_args()
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files = _gather(args.logs)
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by_mode: dict[str, list[dict]] = defaultdict(list)
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for f in files:
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r = parse_log(f)
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if r is None:
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continue
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by_mode[_env_mode(f)].append(r)
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if not by_mode:
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raise SystemExit(f"no parseable runs in {len(files)} files")
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for mode, rs in by_mode.items():
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logger.info(f"{mode:14s} {len(rs)} run(s), steps={[len(r['steps']) for r in rs]}")
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plot(by_mode, args.out)
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logger.info(f"docs/figs latest -> {link_latest(args.out)}")
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if __name__ == "__main__":
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main()
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