{
 "what": "whether 'linear in the learning rate' and 'linear in log-steps' are separable on the planned 1,000-step Pythia grid, from the schedule alone",
 "schedule": {
  "total_steps": 143000,
  "lr_max": 0.001,
  "lr_min_fraction": 0.1,
  "warmup_steps": 1430,
  "shape": "linear warmup then cosine decay"
 },
 "grid": {
  "n_points": 143,
  "first": 1000,
  "last": 143000,
  "spacing": 1000
 },
 "pearson_r_lr_vs_log_steps": -0.8356681943232172,
 "variance_inflation_factor": 3.3150050132037077,
 "residual_sd_of_lr_after_log_steps": 0.5492346210833527,
 "separable": true,
 "reading": "the two predictors are separable enough on this grid for a fit to attribute an effect",
 "minutes": 9.381771087646485e-06,
 "provenance": {
  "inputs": [
   "Pythia's published schedule; no model, no run"
  ],
  "reference": null,
  "battery_prompt_hash": "570b42db13f8fe5772b8d1a9ad7d55d6fa1279dae5948ad94e8363789bcbc1ad",
  "code_commit": "1d8310f",
  "design": "9-Paper-1/2610-18Oct_PAPER-1-Design.md sha256 47f6a664\u2026"
 }
}