Add .ipynb

notebooks_jason/max_of_2_grokking.ipynb

@@ -0,0 +1,39 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

notebooks_jason/max_of_2_grokking.py

@@ -1,27 +1,22 @@
 # %%
-from dataclasses import replace
 from tqdm import tqdm
 import os
 import imageio
 from gbmi.exp_max_of_n.train import (
     FullDatasetCfg,
     MaxOfN,
     train_or_load_model,
-    config_of_argv,
 )
-from gbmi.model import Config, try_load_model_from_wandb_download
+from gbmi.model import Config
 from transformer_lens import HookedTransformerConfig, HookedTransformer
-import plotly.express as px
 import plotly.graph_objects as go
 from plotly.subplots import make_subplots
 import torch
-import numpy as np
 import wandb
 from typing import (
     Tuple,
 )
 
-from gbmi.utils import set_params
 
 api = wandb.Api()