| --- |
| license: cc-by-4.0 |
| pretty_name: What Arranges Features in Activation Space? (checkpoints and analysis) |
| tags: |
| - interpretability |
| - computational-mechanics |
| - belief-states |
| --- |
| |
| # What Arranges Features in Activation Space? Checkpoints and analysis outputs |
|
|
| Trained checkpoints and pre-computed analysis outputs for the NeurIPS 2026 paper |
| "What Arranges Features in Activation Space? Non-Classical Predictive Geometry in Next-Token |
| Predictors" (arXiv:2507.07432). Code: https://github.com/adamimos/what-arranges-features. |
|
|
| The original single-seed (seed 42) models used for the geometry panels of Fig. 2, Fig. 3 and |
| the RSA figure are in a separate dataset, |
| [`SimplexAI/quantum-representations`](https://huggingface.co/datasets/SimplexAI/quantum-representations). |
|
|
| > **Upload in progress (November 2026).** The files listed below are being uploaded; until then only this card is present. |
|
|
| ## Layout |
|
|
| Download into the root of the code repository (see its README); paths match what the scripts |
| expect. |
|
|
| | Path | Contents | |
| |---|---| |
| | `results/multiseed_{bloch,mess3,moon,frdn}_transformer/` | 5 seeds (0, 1, 2, 3, 42) x transformer | |
| | `results/multiseed_{bloch,stage2,frdn}_rnn/` | 5 seeds x LSTM / GRU / vanilla RNN (`stage2` = Mess3 and Moon) | |
| | `results/qrrxor_robust_{transformer,lstm,gru,rnn}/` | qRRXOR, 5 report seeds (42, 123, 456, 789, 1000) | |
| | `results/20260424220339/`, `results/20260504050111_lstm_b64_full/` | qRRXOR transformer and LSTM shown in Fig. 4 | |
| | `results/20260503215800_lstm_default_cpu/` | qRRXOR LSTM at lr 1e-4 / batch 16 (comparison runs) | |
| | `results/paper_metrics/` | Fig. 2 and appendix bar metrics, order-k loss, PCA views | |
| | `results/*.csv`, `results/causal_transplant/`, `results/heldout_suffix/` | scores behind the paper's numbers, including the scores (not the checkpoints) of the qRRXOR hyperparameter screen (dev seeds 7, 11, 13) | |
| | `shuffle_results_quantum_rrxor_hero_3seed/`, `figures/beyond_ntp/` | cached curves read by the Fig. 4 script | |
|
|
| Each run directory `run_<i>_.../` holds a checkpoint every 100 epochs, named by tokens seen |
| (`0.pt` is the untrained network), plus `loss.csv`, `log.csv`, `log.json`, and the run config |
| (`run_config.yaml`, and `hooked_model_config.json` or `model_config.json`). Each sweep |
| directory has the `sweep_config.yaml` it was launched from. |
|
|
| ## Notes |
|
|
| - A run counts as converged when the last `val_loss_mean` in `loss.csv` (normalized by the |
| optimal loss) is below 1.005. All runs in the core dataset converge except some seeds of |
| `20260503215800_lstm_default_cpu`, which are included for that comparison. |
| - The shuffle columns of `qrrxor_robust_scores.csv` and `qrrxor_robust_grurnn_scores*.csv` |
| come from a single no-PCA shuffle and are not the paper's numbers; the paper's shuffle |
| results are in `qrrxor_shuffle_null_analysis.csv`. |
|
|
