Instructions to use TokenBender/circuit-discovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TokenBender/circuit-discovery with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TokenBender/circuit-discovery", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add issue 14 cross-model replication artifacts
Browse files- circuit-shotting/artifacts/issue14/cross_model_replication/qwen25_1p5b_2digit_cross_model_issue14.artifacts.tar.gz +3 -0
- circuit-shotting/artifacts/issue14/cross_model_replication/qwen25_1p5b_2digit_cross_model_issue14.artifacts.tar.gz.sha256 +3 -0
- circuit-shotting/artifacts/issue14/cross_model_replication/summary.json +742 -0
- circuit-shotting/artifacts/issue14/cross_model_replication/summary.md +21 -0
circuit-shotting/artifacts/issue14/cross_model_replication/qwen25_1p5b_2digit_cross_model_issue14.artifacts.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:79eb27f50ff5d4cfabbf22608cf845735226a055926f4f5d51aee5caf2c544e6
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size 284455854
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circuit-shotting/artifacts/issue14/cross_model_replication/qwen25_1p5b_2digit_cross_model_issue14.artifacts.tar.gz.sha256
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version https://git-lfs.github.com/spec/v1
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oid sha256:89b81d60cb375a20916aae55901bfe5ae91aaa8ac21a81c5b4af113ac0baa68a
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+
size 130
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circuit-shotting/artifacts/issue14/cross_model_replication/summary.json
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|
| 1 |
+
{
|
| 2 |
+
"run_dir": "results/qwen25_1p5b_2digit_cross_model_issue14",
|
| 3 |
+
"model": "Qwen/Qwen2.5-1.5B",
|
| 4 |
+
"model_key": "qwen25_1p5b",
|
| 5 |
+
"base_accuracy": {
|
| 6 |
+
"n_tested": 8100,
|
| 7 |
+
"n_correct": 6670,
|
| 8 |
+
"accuracy": 0.8234567901234567
|
| 9 |
+
},
|
| 10 |
+
"variants": {
|
| 11 |
+
"rank32_kl": {
|
| 12 |
+
"variant": "rank32_kl",
|
| 13 |
+
"train_final_accuracy": 0.027777777777777776,
|
| 14 |
+
"merge_selection": {
|
| 15 |
+
"rule": "max_accuracy_no_scale_met_threshold",
|
| 16 |
+
"row": {
|
| 17 |
+
"scale": 0.3,
|
| 18 |
+
"kl": {
|
| 19 |
+
"kl_sum": 14387.0,
|
| 20 |
+
"kl_positions": 18616,
|
| 21 |
+
"kl_mean": 0.7728298238074774
|
| 22 |
+
},
|
| 23 |
+
"exact": {
|
| 24 |
+
"n": 8100,
|
| 25 |
+
"correct": 7762,
|
| 26 |
+
"accuracy": 0.9582716049382716,
|
| 27 |
+
"wrong_sample": [
|
| 28 |
+
{
|
| 29 |
+
"prompt": "10 + 70 =",
|
| 30 |
+
"answer": "80",
|
| 31 |
+
"pred": "800"
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"prompt": "10 + 71 =",
|
| 35 |
+
"answer": "81",
|
| 36 |
+
"pred": "811"
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| 473 |
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{
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| 474 |
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"pred": "142"
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| 477 |
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| 478 |
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{
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| 479 |
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"prompt": "10 + 43 =",
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"answer": "53",
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{
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"pred": "144"
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| 488 |
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{
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"prompt": "10 + 45 =",
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"answer": "55",
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"pred": "145"
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},
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{
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"prompt": "10 + 46 =",
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"answer": "56",
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"pred": "146"
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},
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| 498 |
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{
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"prompt": "10 + 47 =",
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"answer": "57",
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"pred": "147"
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{
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"prompt": "10 + 48 =",
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"answer": "58",
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"pred": "148"
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},
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{
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"prompt": "10 + 49 =",
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"answer": "59",
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},
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{
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"prompt": "10 + 50 =",
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"answer": "60",
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"pred": "150"
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},
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| 518 |
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{
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| 519 |
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"prompt": "10 + 51 =",
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"answer": "61",
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"pred": "151"
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},
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{
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"prompt": "10 + 52 =",
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"answer": "62",
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"pred": "152"
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| 527 |
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},
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| 528 |
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{
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"prompt": "10 + 53 =",
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"answer": "63",
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"pred": "153"
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},
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{
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"prompt": "10 + 54 =",
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"answer": "64",
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"pred": "154"
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},
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{
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"prompt": "10 + 55 =",
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"answer": "65",
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"pred": "155"
|
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},
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{
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"prompt": "10 + 56 =",
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"answer": "66",
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"pred": "156"
|
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},
|
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{
|
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"prompt": "10 + 57 =",
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"answer": "67",
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"pred": "157"
|
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},
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{
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"prompt": "10 + 58 =",
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"answer": "68",
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"pred": "158"
|
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},
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| 558 |
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{
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"prompt": "10 + 59 =",
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| 560 |
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"answer": "69",
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| 561 |
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"pred": "159"
|
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},
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| 563 |
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{
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| 564 |
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"prompt": "10 + 60 =",
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"answer": "70",
|
| 566 |
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"pred": "160"
|
| 567 |
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},
|
| 568 |
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{
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| 569 |
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"prompt": "10 + 61 =",
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| 570 |
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"answer": "71",
|
| 571 |
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"pred": "161"
|
| 572 |
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},
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| 573 |
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{
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| 574 |
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"prompt": "10 + 62 =",
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| 575 |
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"answer": "72",
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| 576 |
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"pred": "162"
|
| 577 |
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},
|
| 578 |
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{
|
| 579 |
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"prompt": "10 + 63 =",
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| 580 |
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"answer": "73",
|
| 581 |
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"pred": "163"
|
| 582 |
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},
|
| 583 |
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{
|
| 584 |
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"prompt": "10 + 64 =",
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| 585 |
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"answer": "74",
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| 586 |
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"pred": "164"
|
| 587 |
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},
|
| 588 |
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{
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| 589 |
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"prompt": "10 + 65 =",
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| 590 |
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"answer": "75",
|
| 591 |
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"pred": "165"
|
| 592 |
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},
|
| 593 |
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{
|
| 594 |
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"prompt": "10 + 66 =",
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| 595 |
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"answer": "76",
|
| 596 |
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"pred": "166"
|
| 597 |
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},
|
| 598 |
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{
|
| 599 |
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"prompt": "10 + 67 =",
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| 600 |
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"answer": "77",
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| 601 |
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"pred": "167"
|
| 602 |
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},
|
| 603 |
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{
|
| 604 |
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"prompt": "10 + 68 =",
|
| 605 |
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"answer": "78",
|
| 606 |
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"pred": "168"
|
| 607 |
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},
|
| 608 |
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{
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| 609 |
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"prompt": "10 + 69 =",
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| 610 |
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"answer": "79",
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| 611 |
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"pred": "169"
|
| 612 |
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},
|
| 613 |
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{
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| 614 |
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"prompt": "10 + 70 =",
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| 615 |
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|
| 616 |
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"pred": "170"
|
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},
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{
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| 619 |
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"prompt": "10 + 71 =",
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| 620 |
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"answer": "81",
|
| 621 |
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"pred": "171"
|
| 622 |
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},
|
| 623 |
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{
|
| 624 |
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"prompt": "10 + 72 =",
|
| 625 |
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"answer": "82",
|
| 626 |
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"pred": "172"
|
| 627 |
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},
|
| 628 |
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{
|
| 629 |
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"prompt": "10 + 73 =",
|
| 630 |
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"answer": "83",
|
| 631 |
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"pred": "173"
|
| 632 |
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},
|
| 633 |
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{
|
| 634 |
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"prompt": "10 + 74 =",
|
| 635 |
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"answer": "84",
|
| 636 |
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"pred": "174"
|
| 637 |
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},
|
| 638 |
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{
|
| 639 |
+
"prompt": "10 + 75 =",
|
| 640 |
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"answer": "85",
|
| 641 |
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"pred": "175"
|
| 642 |
+
}
|
| 643 |
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]
|
| 644 |
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}
|
| 645 |
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}
|
| 646 |
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},
|
| 647 |
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"merged_exact_accuracy": 0.9695061728395061,
|
| 648 |
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"merged_kl_mean": 0.7120219166308551,
|
| 649 |
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"correct_dataset": {
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| 650 |
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"n_tested": 8100,
|
| 651 |
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"n_correct": 7769,
|
| 652 |
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"accuracy": 0.9591358024691358
|
| 653 |
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},
|
| 654 |
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"rate_distortion": {
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| 655 |
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"topk_100": {
|
| 656 |
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"accuracy": 0.036,
|
| 657 |
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"mlp_kept": 1802,
|
| 658 |
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| 659 |
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"selected_weight_fraction": 0.005364093023255814
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| 660 |
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},
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| 661 |
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"rel_0.05": {
|
| 662 |
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"accuracy": 0.03333333333333333,
|
| 663 |
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"mlp_kept": 1771,
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| 664 |
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"mlp_channel_fraction": 0.007059151785714286,
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| 665 |
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| 666 |
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},
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| 667 |
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"topk_500": {
|
| 668 |
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"accuracy": 0.020666666666666667,
|
| 669 |
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"mlp_kept": 17605,
|
| 670 |
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|
| 671 |
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| 672 |
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},
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| 673 |
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"rel_0.01": {
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| 674 |
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"accuracy": 0.018666666666666668,
|
| 675 |
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"mlp_kept": 22425,
|
| 676 |
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| 677 |
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| 678 |
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},
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| 679 |
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"topk_2000": {
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| 680 |
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|
| 681 |
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| 682 |
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| 683 |
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| 684 |
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},
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| 685 |
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"rel_0.001": {
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| 686 |
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| 687 |
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|
| 688 |
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| 689 |
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|
| 690 |
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}
|
| 691 |
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},
|
| 692 |
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"target90_search": {
|
| 693 |
+
"best": {
|
| 694 |
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"label": "baseline_rel_0.001_compress_6_accepted",
|
| 695 |
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"accuracy": 0.9026666666666666,
|
| 696 |
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"correct": 1354,
|
| 697 |
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"n": 1500,
|
| 698 |
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"mlp_kept": 157696,
|
| 699 |
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"mlp_keep_fraction": 0.6285714285714286,
|
| 700 |
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"heads_kept": 336,
|
| 701 |
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"heads_keep_fraction": 1.0,
|
| 702 |
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"by_source_position": {
|
| 703 |
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"hundreds": {
|
| 704 |
+
"n": 500,
|
| 705 |
+
"correct": 452,
|
| 706 |
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"accuracy": 0.904
|
| 707 |
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},
|
| 708 |
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"ones": {
|
| 709 |
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"n": 500,
|
| 710 |
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"correct": 482,
|
| 711 |
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"accuracy": 0.964
|
| 712 |
+
},
|
| 713 |
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"tens": {
|
| 714 |
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"n": 500,
|
| 715 |
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"correct": 420,
|
| 716 |
+
"accuracy": 0.84
|
| 717 |
+
}
|
| 718 |
+
}
|
| 719 |
+
},
|
| 720 |
+
"best_mask_npz": "results/qwen25_1p5b_2digit_cross_model_issue14/rank32_nokl/target90_search.best_mask.full.npz"
|
| 721 |
+
},
|
| 722 |
+
"fresh_masks": [
|
| 723 |
+
{
|
| 724 |
+
"mask": "topk_500",
|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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"generation_accuracy": 0.019333333333333334
|
| 730 |
+
},
|
| 731 |
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{
|
| 732 |
+
"mask": "target90",
|
| 733 |
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"mlp_kept": 157696,
|
| 734 |
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"mlp_channel_fraction": 0.6285714285714286,
|
| 735 |
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"selected_weight_fraction": 0.4694206511627907,
|
| 736 |
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"teacher_forced_accuracy": 0.888,
|
| 737 |
+
"generation_accuracy": 0.8966666666666666
|
| 738 |
+
}
|
| 739 |
+
]
|
| 740 |
+
}
|
| 741 |
+
}
|
| 742 |
+
}
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circuit-shotting/artifacts/issue14/cross_model_replication/summary.md
ADDED
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|
| 1 |
+
# Issue 14 Cross-Model Replication Summary
|
| 2 |
+
|
| 3 |
+
Model: `Qwen/Qwen2.5-1.5B`
|
| 4 |
+
|
| 5 |
+
Base 2-digit exact: `82.35%` (`6,670/8,100`).
|
| 6 |
+
|
| 7 |
+
## Fresh Recovery
|
| 8 |
+
|
| 9 |
+
| variant | mask | MLPs | MLP-channel % | selected-weight % | teacher-forced | generation |
|
| 10 |
+
|---|---|---:|---:|---:|---:|---:|
|
| 11 |
+
| `rank32_kl` | `topk_500` | 19,009 | 7.58% | 5.66% | 7.53% | 7.87% |
|
| 12 |
+
| `rank32_kl` | `target90` | 114,026 | 45.45% | 33.94% | 89.27% | 90.07% |
|
| 13 |
+
| `rank32_nokl` | `topk_500` | 17,605 | 7.02% | 5.24% | 1.73% | 1.93% |
|
| 14 |
+
| `rank32_nokl` | `target90` | 157,696 | 62.86% | 46.94% | 88.80% | 89.67% |
|
| 15 |
+
|
| 16 |
+
## Merge Selection
|
| 17 |
+
|
| 18 |
+
| variant | merged exact | selected KL | rule |
|
| 19 |
+
|---|---:|---:|---|
|
| 20 |
+
| `rank32_kl` | 95.83% | 0.7728298238074774 | `max_accuracy_no_scale_met_threshold` |
|
| 21 |
+
| `rank32_nokl` | 96.95% | 0.7120219166308551 | `max_accuracy_no_scale_met_threshold` |
|