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---
license: mit
tags:
- mechanistic-interpretability
- grokking
- transformers
---
# Manifold Features — data
State dicts and supporting checkpoints for the [*Manifold Features*](https://nick-yudin.github.io/manifold_features/) interactive longform series by [Nikolay Yudin](https://twitter.com/Nikolay_Yudin_).
The source code and notebooks live at [github.com/nick-yudin/manifold_features](https://github.com/nick-yudin/manifold_features).
## Contents
### `four-algorithms/` — Part 2 checkpoints
A 2-block transformer with residual dimension 384 trained on four modular-arithmetic tasks simultaneously (`division`, `addition`, `max`, `parity` at `P = 149`) with WD = 0.3 across 5 random seeds.
- `seed_1000_final.pt` ... `seed_1004_final.pt` (~19 MB each) — final checkpoints after grokking; include the model state dict, the metrics log, the per-task grok steps, and the snapshot step list.
- `handcraft_max.pt` (~18 MB) — a 2-block transformer that solves `c = max(a, b) mod 97` with weights placed entirely by formula (no training). Hits 100% accuracy on all 9409 input pairs.
## Loading
```python
from huggingface_hub import hf_hub_download
import torch
path = hf_hub_download(
repo_id="NikolayYudin/manifold-features-data",
filename="four-algorithms/seed_1000_final.pt",
repo_type="dataset",
)
ckpt = torch.load(path, map_location="cpu", weights_only=False)
print(ckpt["final_accs"]) # {'div': 0.9995, 'add': 0.9854, 'max': 0.9915, 'parity': 0.9995}
```
Architecture matches `GrokModelShared` from the notebooks. Open
[`four-algorithms/notebooks/walk_and_dictation.ipynb`](https://github.com/nick-yudin/manifold_features/blob/main/four-algorithms/notebooks/walk_and_dictation.ipynb) for the full loading + analysis flow.