Ground truth
The screenshot is the exact analysis frame the ground truth is computed on. Labels are imported (AtariARI / OCAtari) then verified causally on the bit-exact machine.
The exact ground truth for this ROM and how every interpretability method scores
against it — one of the 42 scored games. Every number is read from
site_data.json (games.bank_heist).
← back to the Ground Truth ROMs · Paper 2 audit · method catalogue
The screenshot is the exact analysis frame the ground truth is computed on. Labels are imported (AtariARI / OCAtari) then verified causally on the bit-exact machine.
Each XAI / mechanistic-interpretability method's faithfulness on this ROM, sorted by F (click a header to re-sort). The left border marks the tradition: green = causal / intervention, red = gradient / correlational, amber = other — the split the paper's headline turns on. F is all-regime; content-F and position-F are the two output regimes (n/a where this game has no record for that regime).
| Method | Family | F (all) | content-F | position-F | S | M |
|---|---|---|---|---|---|---|
| A2 · Single-unit lesions | causal / intervention | 1.000 | n/a | n/a | 0.462 | 1.000 |
| A8 · Whole-state recording | descriptive | 1.000 | n/a | n/a | 1.000 | 0.031 |
| Activation patching / causal mediation | causal / intervention | 1.000 | n/a | 1.000 | 1.000 | 1.000 |
| Causal scrubbing | causal / intervention | 1.000 | n/a | n/a | 1.000 | 1.000 |
| Interchange interventions / DAS | causal / intervention | 1.000 | n/a | n/a | 1.000 | 1.000 |
| Path patching / IOI circuit | causal / intervention | 1.000 | n/a | n/a | n/a | n/a |
| Logit / tuned lens | causal / intervention | 0.991 | n/a | n/a | n/a | 0.069 |
| On-distribution counterfactual | causal / intervention | 0.825 | 0.974 | 0.676 | 0.833 | 1.000 |
| Occlusion | causal / intervention | 0.788 | 0.900 | 0.676 | 0.833 | 1.000 |
| KernelSHAP / Shapley | gradient / correlational | 0.669 | 0.900 | 0.438 | 0.833 | 0.900 |
| LIME | gradient / correlational | 0.663 | 0.900 | 0.427 | 0.833 | 0.900 |
| RISE | gradient / correlational | 0.648 | 0.852 | 0.443 | 0.833 | 0.500 |
| A7 · Dimensionality reduction (NMF/PCA) | dim_reduction | 0.600 | n/a | n/a | n/a | n/a |
| A3 · Tuning curves | gradient / correlational | 0.564 | n/a | n/a | 0.247 | 1.000 |
| Extremal / meaningful perturbation | causal / intervention | 0.467 | 0.696 | 0.237 | 0.833 | 1.000 |
| Attribution / edge patching | gradient / correlational | 0.463 | n/a | n/a | 0.042 | 1.000 |
| Grad×Input / DeepLIFT | gradient / correlational | 0.455 | 0.911 | 0.000 | 0.833 | 1.000 |
| Expected Gradients | gradient / correlational | 0.450 | 0.900 | 0.000 | 0.833 | 1.000 |
| Guided Backprop | gradient / correlational | 0.450 | 0.900 | 0.000 | 0.833 | 1.000 |
| Integrated Gradients | gradient / correlational | 0.450 | 0.900 | 0.000 | 0.833 | 1.000 |
| Vanilla gradient (saliency) | gradient / correlational | 0.450 | 0.900 | 0.000 | 0.833 | 1.000 |
| SmoothGrad | gradient / correlational | 0.450 | 0.900 | 0.000 | 0.833 | 1.000 |
| A5 · Local field potentials | gradient / correlational | 0.285 | n/a | n/a | n/a | n/a |
| NMF/PCA dictionaries | dim_reduction | 0.000 | n/a | n/a | 0.627 | 1.000 |
| Sparse autoencoders | dim_reduction | 0.000 | n/a | n/a | -0.506 | 1.000 |
Source: site_data.json
· generated by gen_site_data.py from the
committed §R records + leaderboard.json.