| """Post-run baseline-adjusted view of the frozen intervention measurements.""" |
|
|
| import json |
| from pathlib import Path |
|
|
| import matplotlib |
|
|
| matplotlib.use("Agg") |
| from matplotlib import pyplot as plt |
|
|
| folder = Path(__file__).resolve().parent |
| audit = json.loads((folder / "independent-audit.json").read_text()) |
| fig, ax = plt.subplots(figsize=(6.5, 3.6)) |
| for model, color in (("standard2", "#2467a2"), ("loop2", "#d56a22")): |
| for component, marker in (("mlp_delta", "o"), ("postresidual", "s")): |
| cells = [ |
| row |
| for row in audit["patch_baseline_adjusted_descriptive_scores"] |
| if row["state"].startswith(model) and row["component"] == component |
| ] |
| cells.sort(key=lambda row: int(row["state"].rsplit("s", 1)[1])) |
| ax.plot( |
| [int(row["state"].rsplit("s", 1)[1]) for row in cells], |
| [100 * row["accuracy_delta"] for row in cells], |
| marker=marker, |
| color=color, |
| linestyle="-" if component == "mlp_delta" else "--", |
| label=f"{model} {component}", |
| ) |
| ax.axhline(0, color="black", linewidth=0.8) |
| ax.set_xticks([8000, 32000, 64000], ["8k", "32k", "64k"]) |
| ax.set_xlabel("Parent checkpoint training updates") |
| ax.set_ylabel("Alternative-route accuracy change (pp)") |
| ax.set_title("First-block r1 patch minus native alternative-route accuracy") |
| ax.grid(alpha=0.2) |
| ax.legend(fontsize=8) |
| fig.tight_layout() |
| for suffix in ("png", "pdf"): |
| fig.savefig(folder / f"patch-delta.{suffix}", dpi=180) |
| plt.close(fig) |
|
|
