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- run-20260503_053744-ea4e6pox/files/config.yaml +88 -0
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run-20260503_053744-ea4e6pox/files/config.yaml
ADDED
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| 1 |
+
_wandb:
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| 2 |
+
value:
|
| 3 |
+
cli_version: 0.21.0
|
| 4 |
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e:
|
| 5 |
+
imbci4ddj09ujm6egpokwi7szuya3egu:
|
| 6 |
+
args:
|
| 7 |
+
- --train-domain
|
| 8 |
+
- biology
|
| 9 |
+
- --attack-domain
|
| 10 |
+
- physics
|
| 11 |
+
- --stage
|
| 12 |
+
- attack
|
| 13 |
+
- --hf-recover-repo
|
| 14 |
+
- roonbug/2b63aec8
|
| 15 |
+
- --dev
|
| 16 |
+
- --device
|
| 17 |
+
- cuda
|
| 18 |
+
- --firing-rate-threshold
|
| 19 |
+
- "2e-5"
|
| 20 |
+
- --gemma3
|
| 21 |
+
- --max-steps-attack
|
| 22 |
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- "10000"
|
| 23 |
+
codePath: experiments/script_scoping_pipeline_stemqa.py
|
| 24 |
+
codePathLocal: experiments/script_scoping_pipeline_stemqa.py
|
| 25 |
+
cpu_count: 64
|
| 26 |
+
cpu_count_logical: 128
|
| 27 |
+
cudaVersion: "13.0"
|
| 28 |
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disk:
|
| 29 |
+
/:
|
| 30 |
+
total: "107374182400"
|
| 31 |
+
used: "9989578752"
|
| 32 |
+
email: aruna.evam@gmail.com
|
| 33 |
+
executable: /root/miniconda3/envs/sae/bin/python
|
| 34 |
+
git:
|
| 35 |
+
commit: 89bc64f41f54ca1f08c9d90c5c2ea13f98123c1b
|
| 36 |
+
remote: git@github.com:4gatepylon/SAEScoping.git
|
| 37 |
+
gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 38 |
+
gpu_count: 1
|
| 39 |
+
gpu_nvidia:
|
| 40 |
+
- architecture: Blackwell
|
| 41 |
+
cudaCores: 24064
|
| 42 |
+
memoryTotal: "102641958912"
|
| 43 |
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name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 44 |
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uuid: GPU-7c34c3f0-be50-1999-a922-ffbfa212e2da
|
| 45 |
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host: 305dff266a17
|
| 46 |
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memory:
|
| 47 |
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total: "1622884343808"
|
| 48 |
+
os: Linux-6.8.0-106-generic-x86_64-with-glibc2.39
|
| 49 |
+
program: /root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py
|
| 50 |
+
python: CPython 3.12.13
|
| 51 |
+
root: /root/SAEScoping
|
| 52 |
+
startedAt: "2026-05-03T05:37:44.028934Z"
|
| 53 |
+
writerId: imbci4ddj09ujm6egpokwi7szuya3egu
|
| 54 |
+
m: []
|
| 55 |
+
python_version: 3.12.13
|
| 56 |
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t:
|
| 57 |
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"1":
|
| 58 |
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- 1
|
| 59 |
+
- 5
|
| 60 |
+
- 11
|
| 61 |
+
- 49
|
| 62 |
+
- 51
|
| 63 |
+
- 53
|
| 64 |
+
- 71
|
| 65 |
+
- 84
|
| 66 |
+
- 95
|
| 67 |
+
- 98
|
| 68 |
+
- 105
|
| 69 |
+
"2":
|
| 70 |
+
- 1
|
| 71 |
+
- 5
|
| 72 |
+
- 11
|
| 73 |
+
- 49
|
| 74 |
+
- 51
|
| 75 |
+
- 53
|
| 76 |
+
- 71
|
| 77 |
+
- 84
|
| 78 |
+
- 95
|
| 79 |
+
- 98
|
| 80 |
+
- 105
|
| 81 |
+
"3":
|
| 82 |
+
- 2
|
| 83 |
+
- 13
|
| 84 |
+
"4": 3.12.13
|
| 85 |
+
"5": 0.21.0
|
| 86 |
+
"6": 4.56.1
|
| 87 |
+
"12": 0.21.0
|
| 88 |
+
"13": linux-x86_64
|
run-20260503_053744-ea4e6pox/files/output.log
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
Pruning: keeping 6339/16384 neurons (threshold=2e-05)
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run-20260503_053744-ea4e6pox/files/requirements.txt
ADDED
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@@ -0,0 +1,234 @@
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| 1 |
+
packaging==26.0
|
| 2 |
+
wheel==0.46.3
|
| 3 |
+
pip==26.0.1
|
| 4 |
+
webencodings==0.5.1
|
| 5 |
+
pytz==2026.1.post1
|
| 6 |
+
pure_eval==0.2.3
|
| 7 |
+
ptyprocess==0.7.0
|
| 8 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 9 |
+
mpmath==1.3.0
|
| 10 |
+
i2==0.1.63
|
| 11 |
+
fastjsonschema==2.21.2
|
| 12 |
+
better-abc==0.0.3
|
| 13 |
+
zipp==3.23.1
|
| 14 |
+
xxhash==3.7.0
|
| 15 |
+
websocket-client==1.9.0
|
| 16 |
+
webcolors==25.10.0
|
| 17 |
+
wcwidth==0.7.0
|
| 18 |
+
wadler_lindig==0.1.7
|
| 19 |
+
urllib3==2.6.3
|
| 20 |
+
uri-template==1.3.0
|
| 21 |
+
tzdata==2026.2
|
| 22 |
+
typing_extensions==4.15.0
|
| 23 |
+
traitlets==5.14.3
|
| 24 |
+
tqdm==4.67.3
|
| 25 |
+
tornado==6.5.5
|
| 26 |
+
tinycss2==1.4.0
|
| 27 |
+
threadpoolctl==3.6.0
|
| 28 |
+
tenacity==9.1.4
|
| 29 |
+
sympy==1.14.0
|
| 30 |
+
soupsieve==2.8.3
|
| 31 |
+
sniffio==1.3.1
|
| 32 |
+
smmap==5.0.3
|
| 33 |
+
six==1.17.0
|
| 34 |
+
sentencepiece==0.2.1
|
| 35 |
+
Send2Trash==2.1.0
|
| 36 |
+
safetensors==0.5.3
|
| 37 |
+
ruff==0.14.2
|
| 38 |
+
rpds-py==0.30.0
|
| 39 |
+
rfc3986-validator==0.1.1
|
| 40 |
+
regex==2026.4.4
|
| 41 |
+
pyzmq==27.1.0
|
| 42 |
+
PyYAML==6.0.3
|
| 43 |
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python-json-logger==4.1.0
|
| 44 |
+
python-dotenv==1.2.2
|
| 45 |
+
pyparsing==3.3.2
|
| 46 |
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Pygments==2.20.0
|
| 47 |
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pycparser==3.0
|
| 48 |
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pyarrow==24.0.0
|
| 49 |
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psutil==7.2.2
|
| 50 |
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protobuf==6.33.6
|
| 51 |
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propcache==0.4.1
|
| 52 |
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prometheus_client==0.25.0
|
| 53 |
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pluggy==1.6.0
|
| 54 |
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platformdirs==4.9.6
|
| 55 |
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pillow==12.2.0
|
| 56 |
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pexpect==4.9.0
|
| 57 |
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parso==0.8.7
|
| 58 |
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pandocfilters==1.5.1
|
| 59 |
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orjson==3.11.0
|
| 60 |
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nvidia-nvtx-cu12==12.6.77
|
| 61 |
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nvidia-nvjitlink-cu12==12.6.85
|
| 62 |
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nvidia-nccl-cu12==2.26.2
|
| 63 |
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nvidia-curand-cu12==10.3.7.77
|
| 64 |
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nvidia-cufile-cu12==1.11.1.6
|
| 65 |
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nvidia-cuda-runtime-cu12==12.6.77
|
| 66 |
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nvidia-cuda-nvrtc-cu12==12.6.77
|
| 67 |
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nvidia-cuda-cupti-cu12==12.6.80
|
| 68 |
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nvidia-cublas-cu12==12.6.4.1
|
| 69 |
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numpy==1.26.4
|
| 70 |
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networkx==3.6.1
|
| 71 |
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nest-asyncio==1.6.0
|
| 72 |
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natsort==8.4.0
|
| 73 |
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narwhals==2.20.0
|
| 74 |
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multidict==6.7.1
|
| 75 |
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mistune==3.2.0
|
| 76 |
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mdurl==0.1.2
|
| 77 |
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MarkupSafe==3.0.3
|
| 78 |
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lark==1.3.1
|
| 79 |
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kiwisolver==1.5.0
|
| 80 |
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jupyterlab_pygments==0.3.0
|
| 81 |
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jsonpointer==3.1.1
|
| 82 |
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json5==0.14.0
|
| 83 |
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joblib==1.5.3
|
| 84 |
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jiter==0.14.0
|
| 85 |
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iniconfig==2.3.0
|
| 86 |
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importlib_resources==7.1.0
|
| 87 |
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idna==3.13
|
| 88 |
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hf-xet==1.4.3
|
| 89 |
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h11==0.16.0
|
| 90 |
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fsspec==2025.3.0
|
| 91 |
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frozenlist==1.8.0
|
| 92 |
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fqdn==1.5.1
|
| 93 |
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fonttools==4.62.1
|
| 94 |
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filelock==3.29.0
|
| 95 |
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fancy-einsum==0.0.3
|
| 96 |
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executing==2.2.1
|
| 97 |
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einops==0.8.2
|
| 98 |
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dol==0.3.41
|
| 99 |
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docstring_parser==0.18.0
|
| 100 |
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distro==1.9.0
|
| 101 |
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dill==0.3.8
|
| 102 |
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defusedxml==0.7.1
|
| 103 |
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decorator==5.2.1
|
| 104 |
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debugpy==1.8.20
|
| 105 |
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cycler==0.12.1
|
| 106 |
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comm==0.2.3
|
| 107 |
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click==8.2.1
|
| 108 |
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charset-normalizer==3.4.7
|
| 109 |
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certifi==2026.4.22
|
| 110 |
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bleach==6.3.0
|
| 111 |
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beartype==0.14.1
|
| 112 |
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babel==2.18.0
|
| 113 |
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attrs==26.1.0
|
| 114 |
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async-lru==2.3.0
|
| 115 |
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asttokens==3.0.1
|
| 116 |
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annotated-types==0.7.0
|
| 117 |
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aiohappyeyeballs==2.6.1
|
| 118 |
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yarl==1.23.0
|
| 119 |
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typing-inspection==0.4.2
|
| 120 |
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typeguard==4.5.1
|
| 121 |
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terminado==0.18.1
|
| 122 |
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stack-data==0.6.3
|
| 123 |
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simple-parsing==0.1.8
|
| 124 |
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sentry-sdk==2.58.0
|
| 125 |
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scipy==1.17.1
|
| 126 |
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rfc3987-syntax==1.1.0
|
| 127 |
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rfc3339-validator==0.1.4
|
| 128 |
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requests==2.32.4
|
| 129 |
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referencing==0.37.0
|
| 130 |
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python-dateutil==2.9.0.post0
|
| 131 |
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pytest==8.4.1
|
| 132 |
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pydantic_core==2.41.5
|
| 133 |
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prompt_toolkit==3.0.52
|
| 134 |
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plotly==6.3.0
|
| 135 |
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patsy==1.0.2
|
| 136 |
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nvidia-cusparse-cu12==12.5.4.2
|
| 137 |
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nvidia-cufft-cu12==11.3.0.4
|
| 138 |
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nvidia-cudnn-cu12==9.5.1.17
|
| 139 |
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nltk==3.9.4
|
| 140 |
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multiprocess==0.70.16
|
| 141 |
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matplotlib-inline==0.2.1
|
| 142 |
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markdown-it-py==4.0.0
|
| 143 |
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jupyter_core==5.9.1
|
| 144 |
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Jinja2==3.1.6
|
| 145 |
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jedi==0.20.0
|
| 146 |
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jaxtyping==0.3.2
|
| 147 |
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ipython_pygments_lexers==1.1.1
|
| 148 |
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importlib_metadata==9.0.0
|
| 149 |
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httpcore==1.0.9
|
| 150 |
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gitdb==4.0.12
|
| 151 |
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contourpy==1.3.3
|
| 152 |
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config2py==0.1.47
|
| 153 |
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cffi==2.0.0
|
| 154 |
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beautifulsoup4==4.14.3
|
| 155 |
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anyio==4.13.0
|
| 156 |
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aiosignal==1.4.0
|
| 157 |
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tiktoken==0.12.0
|
| 158 |
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scikit-learn==1.7.1
|
| 159 |
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rich==15.0.0
|
| 160 |
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pydantic==2.12.4
|
| 161 |
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py2store==0.1.22
|
| 162 |
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pandas==2.3.1
|
| 163 |
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nvidia-cusolver-cu12==11.7.1.2
|
| 164 |
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matplotlib==3.10.9
|
| 165 |
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jupyter_server_terminals==0.5.4
|
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jupyter_client==8.8.0
|
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jsonschema-specifications==2025.9.1
|
| 168 |
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ipython==9.4.0
|
| 169 |
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huggingface_hub==0.36.2
|
| 170 |
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httpx==0.28.1
|
| 171 |
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graze==0.1.39
|
| 172 |
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GitPython==3.1.49
|
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arrow==1.4.0
|
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argon2-cffi-bindings==25.1.0
|
| 175 |
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aiohttp==3.13.5
|
| 176 |
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wandb==0.21.0
|
| 177 |
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tokenizers==0.22.2
|
| 178 |
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statsmodels==0.14.6
|
| 179 |
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seaborn==0.13.2
|
| 180 |
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openai==2.33.0
|
| 181 |
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jsonschema==4.26.0
|
| 182 |
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isoduration==20.11.0
|
| 183 |
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ipykernel==7.2.0
|
| 184 |
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babe==0.0.7
|
| 185 |
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argon2-cffi==25.1.0
|
| 186 |
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transformers==4.56.1
|
| 187 |
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schedulefree==1.4.1
|
| 188 |
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plotly-express==0.4.1
|
| 189 |
+
nbformat==5.10.4
|
| 190 |
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litellm==1.74.7
|
| 191 |
+
datasets==4.0.0
|
| 192 |
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accelerate==1.13.0
|
| 193 |
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trl==0.22.2
|
| 194 |
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transformers-stream-generator==0.0.5
|
| 195 |
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peft==0.16.0
|
| 196 |
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nbclient==0.10.4
|
| 197 |
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jupyter-events==0.12.1
|
| 198 |
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eai-sparsify==1.3.0
|
| 199 |
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transformer-lens==2.17.0
|
| 200 |
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nbconvert==7.17.1
|
| 201 |
+
nvidia-cusparse==12.6.3.3
|
| 202 |
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jupyter_server==2.17.0
|
| 203 |
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notebook_shim==0.2.4
|
| 204 |
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jupyterlab_server==2.28.0
|
| 205 |
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jupyter-lsp==2.3.1
|
| 206 |
+
jupyterlab==4.4.10
|
| 207 |
+
notebook==7.4.4
|
| 208 |
+
sae-scoping==2020.0.0
|
| 209 |
+
mypy_extensions==1.1.0
|
| 210 |
+
typing-inspect==0.9.0
|
| 211 |
+
pandera==0.31.1
|
| 212 |
+
bitsandbytes==0.49.2
|
| 213 |
+
hf_transfer==0.1.9
|
| 214 |
+
nvidia-cufft==12.0.0.61
|
| 215 |
+
sae-lens==6.43.0
|
| 216 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 217 |
+
cuda-toolkit==13.0.2
|
| 218 |
+
triton==3.6.0
|
| 219 |
+
cuda-bindings==13.2.0
|
| 220 |
+
setuptools==81.0.0
|
| 221 |
+
nvidia-nvtx==13.0.85
|
| 222 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 223 |
+
nvidia-nvjitlink==13.0.88
|
| 224 |
+
nvidia-nccl-cu13==2.28.9
|
| 225 |
+
nvidia-curand==10.4.0.35
|
| 226 |
+
nvidia-cufile==1.15.1.6
|
| 227 |
+
nvidia-cuda-runtime==13.0.96
|
| 228 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 229 |
+
nvidia-cuda-cupti==13.0.85
|
| 230 |
+
nvidia-cublas==13.1.0.3
|
| 231 |
+
cuda-pathfinder==1.5.4
|
| 232 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 233 |
+
nvidia-cusolver==12.0.4.66
|
| 234 |
+
torch==2.11.0
|
run-20260503_053744-ea4e6pox/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
+
"startedAt": "2026-05-03T05:37:44.028934Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--train-domain",
|
| 7 |
+
"biology",
|
| 8 |
+
"--attack-domain",
|
| 9 |
+
"physics",
|
| 10 |
+
"--stage",
|
| 11 |
+
"attack",
|
| 12 |
+
"--hf-recover-repo",
|
| 13 |
+
"roonbug/2b63aec8",
|
| 14 |
+
"--dev",
|
| 15 |
+
"--device",
|
| 16 |
+
"cuda",
|
| 17 |
+
"--firing-rate-threshold",
|
| 18 |
+
"2e-5",
|
| 19 |
+
"--gemma3",
|
| 20 |
+
"--max-steps-attack",
|
| 21 |
+
"10000"
|
| 22 |
+
],
|
| 23 |
+
"program": "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py",
|
| 24 |
+
"codePath": "experiments/script_scoping_pipeline_stemqa.py",
|
| 25 |
+
"codePathLocal": "experiments/script_scoping_pipeline_stemqa.py",
|
| 26 |
+
"git": {
|
| 27 |
+
"remote": "git@github.com:4gatepylon/SAEScoping.git",
|
| 28 |
+
"commit": "89bc64f41f54ca1f08c9d90c5c2ea13f98123c1b"
|
| 29 |
+
},
|
| 30 |
+
"email": "aruna.evam@gmail.com",
|
| 31 |
+
"root": "/root/SAEScoping",
|
| 32 |
+
"host": "305dff266a17",
|
| 33 |
+
"executable": "/root/miniconda3/envs/sae/bin/python",
|
| 34 |
+
"cpu_count": 64,
|
| 35 |
+
"cpu_count_logical": 128,
|
| 36 |
+
"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 37 |
+
"gpu_count": 1,
|
| 38 |
+
"disk": {
|
| 39 |
+
"/": {
|
| 40 |
+
"total": "107374182400",
|
| 41 |
+
"used": "9989578752"
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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"memory": {
|
| 45 |
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"total": "1622884343808"
|
| 46 |
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},
|
| 47 |
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"gpu_nvidia": [
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 50 |
+
"memoryTotal": "102641958912",
|
| 51 |
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"cudaCores": 24064,
|
| 52 |
+
"architecture": "Blackwell",
|
| 53 |
+
"uuid": "GPU-7c34c3f0-be50-1999-a922-ffbfa212e2da"
|
| 54 |
+
}
|
| 55 |
+
],
|
| 56 |
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"cudaVersion": "13.0",
|
| 57 |
+
"writerId": "imbci4ddj09ujm6egpokwi7szuya3egu"
|
| 58 |
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}
|
run-20260503_053744-ea4e6pox/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"_timestamp":1.7777866648560205e+09,"llm_judge/math/out_of_scope/ground_truth_similarity_pre_scoping":0.845,"llm_judge/biology/in_scope/quality_pre_scoping":0.94,"true_baseline/llm_judge/physics/out_of_scope/quality":0.89,"true_baseline/llm_judge/biology/in_scope/relevance":1,"llm_judge/biology/in_scope/fluency_pre_scoping":1,"llm_judge/physics/out_of_scope/fluency_pre_scoping":0.975,"llm_judge/math/out_of_scope/quality_pre_scoping":0.9283333333333333,"llm_judge/chemistry/out_of_scope/relevance_pre_scoping":1,"true_baseline/llm_judge/math/out_of_scope/ground_truth_similarity":0.845,"llm_judge/physics/out_of_scope/relevance_pre_scoping":0.975,"llm_judge/chemistry/out_of_scope/ground_truth_similarity_pre_scoping":0.835,"true_baseline/llm_judge/biology/in_scope/ground_truth_similarity":0.82,"true_baseline/llm_judge/chemistry/out_of_scope/relevance":1,"true_baseline/llm_judge/biology/in_scope/quality":0.94,"llm_judge/physics/out_of_scope/quality_pre_scoping":0.89,"true_baseline/llm_judge/physics/out_of_scope/ground_truth_similarity":0.72,"_wandb":{"runtime":2},"llm_judge/physics/out_of_scope/ground_truth_similarity_pre_scoping":0.72,"true_baseline/llm_judge/physics/out_of_scope/fluency":0.975,"trainer/global_step":0,"true_baseline/llm_judge/math/out_of_scope/fluency":0.945,"true_baseline/llm_judge/math/out_of_scope/quality":0.9283333333333333,"llm_judge/math/out_of_scope/fluency_pre_scoping":0.945,"_runtime":2,"llm_judge/biology/in_scope/relevance_pre_scoping":1,"_step":1,"llm_judge/math/out_of_scope/relevance_pre_scoping":0.995,"true_baseline/llm_judge/math/out_of_scope/relevance":0.995,"true_baseline/llm_judge/physics/out_of_scope/relevance":0.975,"true_baseline/llm_judge/chemistry/out_of_scope/ground_truth_similarity":0.835,"llm_judge/chemistry/out_of_scope/fluency_pre_scoping":0.995,"true_baseline/llm_judge/biology/in_scope/fluency":1,"llm_judge/chemistry/out_of_scope/quality_pre_scoping":0.9433333333333334,"true_baseline/llm_judge/chemistry/out_of_scope/quality":0.9433333333333334,"llm_judge/biology/in_scope/ground_truth_similarity_pre_scoping":0.82,"true_baseline/llm_judge/chemistry/out_of_scope/fluency":0.995}
|
run-20260503_053744-ea4e6pox/logs/debug-core.log
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-05-03T05:37:44.045823053Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpdrc7b13s/port-10490.txt","pid":10490,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-05-03T05:37:44.04639809Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":10490}
|
| 3 |
+
{"time":"2026-05-03T05:37:44.046393643Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-10490-11964-1484638266/socket","Net":"unix"}}
|
| 4 |
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{"time":"2026-05-03T05:37:44.234087197Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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| 5 |
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{"time":"2026-05-03T05:37:44.236697902Z","level":"INFO","msg":"handleInformInit: received","streamId":"ea4e6pox","id":"1(@)"}
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| 6 |
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{"time":"2026-05-03T05:37:44.422233993Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"ea4e6pox","id":"1(@)"}
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| 7 |
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{"time":"2026-05-03T05:37:48.169912982Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"ea4e6pox","id":"1(@)"}
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| 8 |
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{"time":"2026-05-03T05:37:48.17102606Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"ea4e6pox","id":"1(@)"}
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| 9 |
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{"time":"2026-05-03T05:37:48.172268753Z","level":"INFO","msg":"handleInformInit: received","streamId":"vjc8361x","id":"1(@)"}
|
| 10 |
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{"time":"2026-05-03T05:37:48.349911537Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"vjc8361x","id":"1(@)"}
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| 11 |
+
{"time":"2026-05-03T05:45:00.847070746Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"}
|
| 12 |
+
{"time":"2026-05-03T05:45:00.847136234Z","level":"INFO","msg":"connection: closing","id":"1(@)"}
|
| 13 |
+
{"time":"2026-05-03T05:45:00.847149694Z","level":"INFO","msg":"server is shutting down"}
|
| 14 |
+
{"time":"2026-05-03T05:45:00.847220872Z","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
|
| 15 |
+
{"time":"2026-05-03T05:45:00.847253671Z","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-10490-11964-1484638266/socket","Net":"unix"}}
|
| 16 |
+
{"time":"2026-05-03T05:45:01.316378684Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
|
| 17 |
+
{"time":"2026-05-03T05:45:01.316391173Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
|
| 18 |
+
{"time":"2026-05-03T05:45:01.316399205Z","level":"INFO","msg":"server is closed"}
|
run-20260503_053744-ea4e6pox/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-05-03T05:37:44.236790471Z","level":"INFO","msg":"stream: starting","core version":"0.21.0"}
|
| 2 |
+
{"time":"2026-05-03T05:37:44.422186392Z","level":"INFO","msg":"stream: created new stream","id":"ea4e6pox"}
|
| 3 |
+
{"time":"2026-05-03T05:37:44.422230909Z","level":"INFO","msg":"stream: started","id":"ea4e6pox"}
|
| 4 |
+
{"time":"2026-05-03T05:37:44.422241945Z","level":"INFO","msg":"sender: started","stream_id":"ea4e6pox"}
|
| 5 |
+
{"time":"2026-05-03T05:37:44.422242186Z","level":"INFO","msg":"writer: Do: started","stream_id":"ea4e6pox"}
|
| 6 |
+
{"time":"2026-05-03T05:37:44.42227142Z","level":"INFO","msg":"handler: started","stream_id":"ea4e6pox"}
|
| 7 |
+
{"time":"2026-05-03T05:37:48.007551861Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 8 |
+
{"time":"2026-05-03T05:37:48.167209216Z","level":"INFO","msg":"handler: operation stats","stats":{}}
|
| 9 |
+
{"time":"2026-05-03T05:37:48.169947344Z","level":"INFO","msg":"stream: closing","id":"ea4e6pox"}
|
| 10 |
+
{"time":"2026-05-03T05:37:48.16996497Z","level":"INFO","msg":"handler: closed","stream_id":"ea4e6pox"}
|
| 11 |
+
{"time":"2026-05-03T05:37:48.169979833Z","level":"INFO","msg":"sender: closed","stream_id":"ea4e6pox"}
|
| 12 |
+
{"time":"2026-05-03T05:37:48.169974464Z","level":"INFO","msg":"writer: Close: closed","stream_id":"ea4e6pox"}
|
| 13 |
+
{"time":"2026-05-03T05:37:48.170030399Z","level":"INFO","msg":"stream: closed","id":"ea4e6pox"}
|
run-20260503_053744-ea4e6pox/logs/debug.log
ADDED
|
@@ -0,0 +1,28 @@
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
| 1 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_setup.py:_flush():80] Current SDK version is 0.21.0
|
| 2 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_setup.py:_flush():80] Configure stats pid to 10490
|
| 3 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_setup.py:_flush():80] Loading settings from /root/.config/wandb/settings
|
| 4 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_setup.py:_flush():80] Loading settings from /root/SAEScoping/wandb/settings
|
| 5 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_setup.py:_flush():80] Loading settings from environment variables
|
| 6 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_init.py:setup_run_log_directory():703] Logging user logs to /root/SAEScoping/wandb/run-20260503_053744-ea4e6pox/logs/debug.log
|
| 7 |
+
2026-05-03 05:37:44,029 INFO MainThread:10490 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to /root/SAEScoping/wandb/run-20260503_053744-ea4e6pox/logs/debug-internal.log
|
| 8 |
+
2026-05-03 05:37:44,030 INFO MainThread:10490 [wandb_init.py:init():830] calling init triggers
|
| 9 |
+
2026-05-03 05:37:44,030 INFO MainThread:10490 [wandb_init.py:init():835] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'_wandb': {}}
|
| 11 |
+
2026-05-03 05:37:44,030 INFO MainThread:10490 [wandb_init.py:init():871] starting backend
|
| 12 |
+
2026-05-03 05:37:44,234 INFO MainThread:10490 [wandb_init.py:init():874] sending inform_init request
|
| 13 |
+
2026-05-03 05:37:44,235 INFO MainThread:10490 [wandb_init.py:init():882] backend started and connected
|
| 14 |
+
2026-05-03 05:37:44,236 INFO MainThread:10490 [wandb_init.py:init():953] updated telemetry
|
| 15 |
+
2026-05-03 05:37:44,239 INFO MainThread:10490 [wandb_init.py:init():977] communicating run to backend with 180.0 second timeout
|
| 16 |
+
2026-05-03 05:37:44,782 INFO MainThread:10490 [wandb_init.py:init():1029] starting run threads in backend
|
| 17 |
+
2026-05-03 05:37:44,854 INFO MainThread:10490 [wandb_run.py:_console_start():2458] atexit reg
|
| 18 |
+
2026-05-03 05:37:44,854 INFO MainThread:10490 [wandb_run.py:_redirect():2306] redirect: wrap_raw
|
| 19 |
+
2026-05-03 05:37:44,854 INFO MainThread:10490 [wandb_run.py:_redirect():2375] Wrapping output streams.
|
| 20 |
+
2026-05-03 05:37:44,854 INFO MainThread:10490 [wandb_run.py:_redirect():2398] Redirects installed.
|
| 21 |
+
2026-05-03 05:37:44,855 INFO MainThread:10490 [wandb_init.py:init():1075] run started, returning control to user process
|
| 22 |
+
2026-05-03 05:37:47,450 INFO MainThread:10490 [wandb_run.py:_finish():2224] finishing run arunasank/sae-scoping-stemqa-biology/ea4e6pox
|
| 23 |
+
2026-05-03 05:37:47,450 INFO MainThread:10490 [wandb_run.py:_atexit_cleanup():2423] got exitcode: 0
|
| 24 |
+
2026-05-03 05:37:47,450 INFO MainThread:10490 [wandb_run.py:_restore():2405] restore
|
| 25 |
+
2026-05-03 05:37:47,450 INFO MainThread:10490 [wandb_run.py:_restore():2411] restore done
|
| 26 |
+
2026-05-03 05:37:48,168 INFO MainThread:10490 [wandb_run.py:_footer_history_summary_info():3903] rendering history
|
| 27 |
+
2026-05-03 05:37:48,169 INFO MainThread:10490 [wandb_run.py:_footer_history_summary_info():3935] rendering summary
|
| 28 |
+
2026-05-03 05:37:48,169 INFO MainThread:10490 [wandb_run.py:_footer_sync_info():3864] logging synced files
|
run-20260503_053748-vjc8361x/files/config.yaml
ADDED
|
@@ -0,0 +1,735 @@
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| 1 |
+
_name_or_path:
|
| 2 |
+
value: roonbug/2b63aec8
|
| 3 |
+
_wandb:
|
| 4 |
+
value:
|
| 5 |
+
cli_version: 0.21.0
|
| 6 |
+
e:
|
| 7 |
+
4cm3mzfydp843aw35eswianerjxz65yv:
|
| 8 |
+
args:
|
| 9 |
+
- --train-domain
|
| 10 |
+
- biology
|
| 11 |
+
- --attack-domain
|
| 12 |
+
- physics
|
| 13 |
+
- --stage
|
| 14 |
+
- attack
|
| 15 |
+
- --hf-recover-repo
|
| 16 |
+
- roonbug/2b63aec8
|
| 17 |
+
- --dev
|
| 18 |
+
- --device
|
| 19 |
+
- cuda
|
| 20 |
+
- --firing-rate-threshold
|
| 21 |
+
- "2e-5"
|
| 22 |
+
- --gemma3
|
| 23 |
+
- --max-steps-attack
|
| 24 |
+
- "10000"
|
| 25 |
+
codePath: experiments/script_scoping_pipeline_stemqa.py
|
| 26 |
+
codePathLocal: experiments/script_scoping_pipeline_stemqa.py
|
| 27 |
+
cpu_count: 64
|
| 28 |
+
cpu_count_logical: 128
|
| 29 |
+
cudaVersion: "13.0"
|
| 30 |
+
disk:
|
| 31 |
+
/:
|
| 32 |
+
total: "107374182400"
|
| 33 |
+
used: "9989619712"
|
| 34 |
+
email: aruna.evam@gmail.com
|
| 35 |
+
executable: /root/miniconda3/envs/sae/bin/python
|
| 36 |
+
git:
|
| 37 |
+
commit: 89bc64f41f54ca1f08c9d90c5c2ea13f98123c1b
|
| 38 |
+
remote: git@github.com:4gatepylon/SAEScoping.git
|
| 39 |
+
gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 40 |
+
gpu_count: 1
|
| 41 |
+
gpu_nvidia:
|
| 42 |
+
- architecture: Blackwell
|
| 43 |
+
cudaCores: 24064
|
| 44 |
+
memoryTotal: "102641958912"
|
| 45 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 46 |
+
uuid: GPU-7c34c3f0-be50-1999-a922-ffbfa212e2da
|
| 47 |
+
host: 305dff266a17
|
| 48 |
+
memory:
|
| 49 |
+
total: "1622884343808"
|
| 50 |
+
os: Linux-6.8.0-106-generic-x86_64-with-glibc2.39
|
| 51 |
+
program: /root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py
|
| 52 |
+
python: CPython 3.12.13
|
| 53 |
+
root: /root/SAEScoping
|
| 54 |
+
startedAt: "2026-05-03T05:37:48.171009Z"
|
| 55 |
+
writerId: 4cm3mzfydp843aw35eswianerjxz65yv
|
| 56 |
+
m:
|
| 57 |
+
- "1": train/global_step
|
| 58 |
+
"6":
|
| 59 |
+
- 3
|
| 60 |
+
"7": []
|
| 61 |
+
- "2": '*'
|
| 62 |
+
"5": 1
|
| 63 |
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"6":
|
| 64 |
+
- 1
|
| 65 |
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"7": []
|
| 66 |
+
python_version: 3.12.13
|
| 67 |
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t:
|
| 68 |
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|
| 69 |
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| 70 |
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|
| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 78 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
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| 95 |
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|
| 105 |
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accelerator_config:
|
| 106 |
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value:
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| 107 |
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dispatch_batches: null
|
| 108 |
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even_batches: true
|
| 109 |
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gradient_accumulation_kwargs: null
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| 110 |
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non_blocking: false
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| 111 |
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split_batches: false
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use_seedable_sampler: true
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| 113 |
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activation_offloading:
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| 114 |
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value: false
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| 115 |
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adafactor:
|
| 116 |
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value: false
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| 117 |
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adam_beta1:
|
| 118 |
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value: 0.9
|
| 119 |
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adam_beta2:
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| 120 |
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value: 0.999
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| 121 |
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adam_epsilon:
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value: 1e-08
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add_cross_attention:
|
| 124 |
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value: false
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| 125 |
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architectures:
|
| 126 |
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value:
|
| 127 |
+
- Gemma3ForConditionalGeneration
|
| 128 |
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assistant_only_loss:
|
| 129 |
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value: false
|
| 130 |
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auto_find_batch_size:
|
| 131 |
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value: false
|
| 132 |
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average_tokens_across_devices:
|
| 133 |
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value: false
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| 134 |
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bad_words_ids:
|
| 135 |
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value: null
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| 136 |
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batch_eval_metrics:
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value: false
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begin_suppress_tokens:
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| 139 |
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value: null
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| 141 |
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value: true
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bf16_full_eval:
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value: false
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| 144 |
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boi_token_index:
|
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value: 255999
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| 146 |
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bos_token_id:
|
| 147 |
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value: 2
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| 148 |
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chat_template_path:
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| 149 |
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value: null
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chunk_size_feed_forward:
|
| 151 |
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value: 0
|
| 152 |
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completion_only_loss:
|
| 153 |
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value: null
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| 154 |
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cross_attention_hidden_size:
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| 155 |
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value: null
|
| 156 |
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data_seed:
|
| 157 |
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value: null
|
| 158 |
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dataloader_drop_last:
|
| 159 |
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value: false
|
| 160 |
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dataloader_num_workers:
|
| 161 |
+
value: 0
|
| 162 |
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dataloader_persistent_workers:
|
| 163 |
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value: false
|
| 164 |
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dataloader_pin_memory:
|
| 165 |
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value: true
|
| 166 |
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dataloader_prefetch_factor:
|
| 167 |
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value: null
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| 168 |
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dataset_kwargs:
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| 169 |
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value: null
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| 170 |
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dataset_num_proc:
|
| 171 |
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value: null
|
| 172 |
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dataset_text_field:
|
| 173 |
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value: text
|
| 174 |
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ddp_backend:
|
| 175 |
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value: null
|
| 176 |
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ddp_broadcast_buffers:
|
| 177 |
+
value: null
|
| 178 |
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ddp_bucket_cap_mb:
|
| 179 |
+
value: null
|
| 180 |
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ddp_find_unused_parameters:
|
| 181 |
+
value: null
|
| 182 |
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ddp_timeout:
|
| 183 |
+
value: 1800
|
| 184 |
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debug:
|
| 185 |
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value: []
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| 186 |
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decoder_start_token_id:
|
| 187 |
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value: null
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| 188 |
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deepspeed:
|
| 189 |
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value: null
|
| 190 |
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disable_tqdm:
|
| 191 |
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value: false
|
| 192 |
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diversity_penalty:
|
| 193 |
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value: 0
|
| 194 |
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do_eval:
|
| 195 |
+
value: true
|
| 196 |
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do_predict:
|
| 197 |
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value: false
|
| 198 |
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do_sample:
|
| 199 |
+
value: false
|
| 200 |
+
do_train:
|
| 201 |
+
value: false
|
| 202 |
+
dtype:
|
| 203 |
+
value: bfloat16
|
| 204 |
+
early_stopping:
|
| 205 |
+
value: false
|
| 206 |
+
encoder_no_repeat_ngram_size:
|
| 207 |
+
value: 0
|
| 208 |
+
eoi_token_index:
|
| 209 |
+
value: 256000
|
| 210 |
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eos_token:
|
| 211 |
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value: <EOS_TOKEN>
|
| 212 |
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eos_token_id:
|
| 213 |
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value: 1
|
| 214 |
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eval_accumulation_steps:
|
| 215 |
+
value: 16
|
| 216 |
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eval_delay:
|
| 217 |
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value: 0
|
| 218 |
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eval_do_concat_batches:
|
| 219 |
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value: true
|
| 220 |
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eval_on_start:
|
| 221 |
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value: false
|
| 222 |
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eval_packing:
|
| 223 |
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value: null
|
| 224 |
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eval_steps:
|
| 225 |
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value: 100
|
| 226 |
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eval_strategy:
|
| 227 |
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value: steps
|
| 228 |
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eval_use_gather_object:
|
| 229 |
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value: false
|
| 230 |
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exponential_decay_length_penalty:
|
| 231 |
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value: null
|
| 232 |
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finetuning_task:
|
| 233 |
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value: null
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| 234 |
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forced_bos_token_id:
|
| 235 |
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value: null
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| 236 |
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forced_eos_token_id:
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| 237 |
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value: null
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| 238 |
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fp16:
|
| 239 |
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value: false
|
| 240 |
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fp16_backend:
|
| 241 |
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value: auto
|
| 242 |
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fp16_full_eval:
|
| 243 |
+
value: false
|
| 244 |
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fp16_opt_level:
|
| 245 |
+
value: O1
|
| 246 |
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fsdp:
|
| 247 |
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value: []
|
| 248 |
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fsdp_config:
|
| 249 |
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value:
|
| 250 |
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min_num_params: 0
|
| 251 |
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xla: false
|
| 252 |
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xla_fsdp_grad_ckpt: false
|
| 253 |
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xla_fsdp_v2: false
|
| 254 |
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fsdp_min_num_params:
|
| 255 |
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value: 0
|
| 256 |
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fsdp_transformer_layer_cls_to_wrap:
|
| 257 |
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value: null
|
| 258 |
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full_determinism:
|
| 259 |
+
value: false
|
| 260 |
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gradient_accumulation_steps:
|
| 261 |
+
value: 16
|
| 262 |
+
gradient_checkpointing:
|
| 263 |
+
value: true
|
| 264 |
+
gradient_checkpointing_kwargs:
|
| 265 |
+
value:
|
| 266 |
+
use_reentrant: false
|
| 267 |
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greater_is_better:
|
| 268 |
+
value: null
|
| 269 |
+
group_by_length:
|
| 270 |
+
value: false
|
| 271 |
+
half_precision_backend:
|
| 272 |
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value: auto
|
| 273 |
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hub_always_push:
|
| 274 |
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value: false
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| 275 |
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hub_model_id:
|
| 276 |
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value: null
|
| 277 |
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hub_private_repo:
|
| 278 |
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value: null
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| 279 |
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hub_revision:
|
| 280 |
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value: null
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hub_strategy:
|
| 282 |
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value: every_save
|
| 283 |
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hub_token:
|
| 284 |
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value: <HUB_TOKEN>
|
| 285 |
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id2label:
|
| 286 |
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value:
|
| 287 |
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"0": LABEL_0
|
| 288 |
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"1": LABEL_1
|
| 289 |
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ignore_data_skip:
|
| 290 |
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value: false
|
| 291 |
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image_token_index:
|
| 292 |
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value: 262144
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| 293 |
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include_for_metrics:
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| 294 |
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value: []
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| 295 |
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include_inputs_for_metrics:
|
| 296 |
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value: false
|
| 297 |
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include_num_input_tokens_seen:
|
| 298 |
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value: false
|
| 299 |
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include_tokens_per_second:
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| 300 |
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value: false
|
| 301 |
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initializer_range:
|
| 302 |
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value: 0.02
|
| 303 |
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is_decoder:
|
| 304 |
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value: false
|
| 305 |
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is_encoder_decoder:
|
| 306 |
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value: false
|
| 307 |
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jit_mode_eval:
|
| 308 |
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value: false
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| 309 |
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label_names:
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value: null
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label_smoothing_factor:
|
| 312 |
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value: 0
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| 313 |
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label2id:
|
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value:
|
| 315 |
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LABEL_0: 0
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LABEL_1: 1
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learning_rate:
|
| 318 |
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value: 2e-05
|
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length_column_name:
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value: length
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length_penalty:
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| 322 |
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value: 1
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liger_kernel_config:
|
| 324 |
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value: null
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| 325 |
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load_best_model_at_end:
|
| 326 |
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value: false
|
| 327 |
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local_rank:
|
| 328 |
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value: 0
|
| 329 |
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log_level:
|
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value: passive
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| 331 |
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log_level_replica:
|
| 332 |
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value: warning
|
| 333 |
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log_on_each_node:
|
| 334 |
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value: true
|
| 335 |
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logging_dir:
|
| 336 |
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value: /root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x/runs/May03_05-44-27_305dff266a17
|
| 337 |
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logging_first_step:
|
| 338 |
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value: false
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logging_nan_inf_filter:
|
| 340 |
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value: true
|
| 341 |
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logging_steps:
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| 342 |
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value: 10
|
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logging_strategy:
|
| 344 |
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value: steps
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| 345 |
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lr_scheduler_type:
|
| 346 |
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value: linear
|
| 347 |
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max_grad_norm:
|
| 348 |
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value: 1
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| 349 |
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max_length:
|
| 350 |
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value: 1024
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| 351 |
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max_steps:
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run-20260503_053748-vjc8361x/files/output.log
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|
| 1 |
+
Attack dataset: 40000 train samples (physics)
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
Baseline LLM judge eval (attack/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/physics)
|
| 5 |
+
================================================================================
|
| 6 |
+
(running with pruned SAE hooked at model.language_model.layers.31)
|
| 7 |
+
Getting token length estimate... w/ batch_size=1024
|
| 8 |
+
Tokenizing batches for length estimate w/ batch_size=1024: 100%|██████████████████████████████████████████| 1/1 [00:00<00:00, 85.21it/s]
|
| 9 |
+
DONE Getting token length estimate!
|
| 10 |
+
Getting length-aware padding breakpoints...
|
| 11 |
+
DONE Tokenizing...
|
| 12 |
+
Tokenizing texts into BEs: 100%|████████████████████████████████████████████████████████████████████████| 9/9 [00:00<00:00, 1367.56it/s]
|
| 13 |
+
Generating responses...: 100%|████████████████████████████████████████████████████████████████████████████| 9/9 [06:14<00:00, 41.65s/it]
|
| 14 |
+
[LLM judge] Saved 600 judge inputs to /root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x/llm_judge_csvs/judge_inputs_0000.json
|
| 15 |
+
Running LLM judges...: 100%|██████████████████████████████████████████████████████████████████████████| 600/600 [00:23<00:00, 25.25it/s]
|
| 16 |
+
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
|
| 17 |
+
Baseline scores:
|
| 18 |
+
llm_judge/biology/in_scope/fluency: 0.9450
|
| 19 |
+
llm_judge/biology/in_scope/ground_truth_similarity: 0.6750
|
| 20 |
+
llm_judge/biology/in_scope/quality: 0.8617
|
| 21 |
+
llm_judge/biology/in_scope/relevance: 0.9650
|
| 22 |
+
llm_judge/physics/attack_scope/fluency: 0.6850
|
| 23 |
+
llm_judge/physics/attack_scope/ground_truth_similarity: 0.3750
|
| 24 |
+
llm_judge/physics/attack_scope/quality: 0.6533
|
| 25 |
+
llm_judge/physics/attack_scope/relevance: 0.9000
|
| 26 |
+
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
|
| 27 |
+
Saved to /root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x/llm_judge_csvs/baseline_pre_attack.csv and /root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x/llm_judge_csvs/baseline_pre_attack.scores.json
|
| 28 |
+
Params @ hookpoint=model.language_model.layers.31: 208 trainable, 857 frozen, frozen layers=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]
|
| 29 |
+
Adding EOS to train dataset: 100%|██████████████████████████████████████████████████████| 40000/40000 [00:01<00:00, 37203.31 examples/s]
|
| 30 |
+
Tokenizing train dataset: 100%|██████████████████████████████████████████████████████████| 40000/40000 [00:19<00:00, 2101.14 examples/s]
|
| 31 |
+
Truncating train dataset: 100%|████████████████████████████████████████████████████████| 40000/40000 [00:00<00:00, 362899.70 examples/s]
|
| 32 |
+
Adding EOS to biology dataset: 100%|████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 34304.75 examples/s]
|
| 33 |
+
Tokenizing biology dataset: 100%|████████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 2556.85 examples/s]
|
| 34 |
+
Truncating biology dataset: 100%|██████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 403298.46 examples/s]
|
| 35 |
+
Adding EOS to physics dataset: 100%|████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 36428.49 examples/s]
|
| 36 |
+
Tokenizing physics dataset: 100%|████████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 2039.78 examples/s]
|
| 37 |
+
Truncating physics dataset: 100%|██████████████████████████████████████████████████████████| 500/500 [00:00<00:00, 341778.36 examples/s]
|
| 38 |
+
0%| | 0/10000 [00:00<?, ?it/s]Traceback (most recent call last):
|
| 39 |
+
File "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py", line 1088, in <module>
|
| 40 |
+
main()
|
| 41 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/click/core.py", line 1442, in __call__
|
| 42 |
+
return self.main(*args, **kwargs)
|
| 43 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 44 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/click/core.py", line 1363, in main
|
| 45 |
+
rv = self.invoke(ctx)
|
| 46 |
+
^^^^^^^^^^^^^^^^
|
| 47 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/click/core.py", line 1226, in invoke
|
| 48 |
+
return ctx.invoke(self.callback, **ctx.params)
|
| 49 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 50 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/click/core.py", line 794, in invoke
|
| 51 |
+
return callback(*args, **kwargs)
|
| 52 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 53 |
+
File "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py", line 1029, in main
|
| 54 |
+
stage_train(
|
| 55 |
+
File "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py", line 403, in stage_train
|
| 56 |
+
train_sae_enhanced_model(
|
| 57 |
+
File "/root/SAEScoping/sae_scoping/trainers/sae_enhanced/train.py", line 323, in train_sae_enhanced_model
|
| 58 |
+
trainer.train()
|
| 59 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/transformers/trainer.py", line 2328, in train
|
| 60 |
+
return inner_training_loop(
|
| 61 |
+
^^^^^^^^^^^^^^^^^^^^
|
| 62 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/transformers/trainer.py", line 2738, in _inner_training_loop
|
| 63 |
+
self.optimizer.step()
|
| 64 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/accelerate/optimizer.py", line 179, in step
|
| 65 |
+
self.optimizer.step(closure)
|
| 66 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/torch/optim/lr_scheduler.py", line 166, in wrapper
|
| 67 |
+
return func.__get__(opt, opt.__class__)(*args, **kwargs)
|
| 68 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 69 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/torch/optim/optimizer.py", line 533, in wrapper
|
| 70 |
+
out = func(*args, **kwargs)
|
| 71 |
+
^^^^^^^^^^^^^^^^^^^^^
|
| 72 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
|
| 73 |
+
return func(*args, **kwargs)
|
| 74 |
+
^^^^^^^^^^^^^^^^^^^^^
|
| 75 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/bitsandbytes/optim/optimizer.py", line 325, in step
|
| 76 |
+
self.init_state(group, p, gindex, pindex)
|
| 77 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
|
| 78 |
+
return func(*args, **kwargs)
|
| 79 |
+
^^^^^^^^^^^^^^^^^^^^^
|
| 80 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/bitsandbytes/optim/optimizer.py", line 507, in init_state
|
| 81 |
+
state["state1"] = self.get_state_buffer(p, dtype=torch.uint8)
|
| 82 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 83 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/bitsandbytes/optim/optimizer.py", line 368, in get_state_buffer
|
| 84 |
+
buff = F.get_paged(*p.shape, dtype=dtype, device=p.device)
|
| 85 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 86 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/bitsandbytes/functional.py", line 136, in get_paged
|
| 87 |
+
cuda_ptr = lib.cget_managed_ptr(ct.c_size_t(num_bytes))
|
| 88 |
+
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| 89 |
+
File "/root/miniconda3/envs/sae/lib/python3.12/site-packages/bitsandbytes/cextension.py", line 269, in throw_on_call
|
| 90 |
+
raise RuntimeError(f"{self.formatted_error}Native code method attempted to call: lib.{name}()")
|
| 91 |
+
RuntimeError:
|
| 92 |
+
🚨 CUDA SETUP ERROR: Missing dependency: libnvJitLink.so.13 🚨
|
| 93 |
+
|
| 94 |
+
CUDA 13.x runtime libraries were not found in the LD_LIBRARY_PATH.
|
| 95 |
+
|
| 96 |
+
To fix this, make sure that:
|
| 97 |
+
1. You have installed CUDA 13.x toolkit on your system
|
| 98 |
+
2. The CUDA runtime libraries are in your LD_LIBRARY_PATH
|
| 99 |
+
|
| 100 |
+
You can add them with (and persist the change by adding the line to your .bashrc):
|
| 101 |
+
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/cuda-13.x/ lib64
|
| 102 |
+
|
| 103 |
+
Original error: libnvJitLink.so.13: cannot open shared object file: No such file or directory
|
| 104 |
+
|
| 105 |
+
🔍 Run this command for detailed diagnostics:
|
| 106 |
+
python -m bitsandbytes
|
| 107 |
+
|
| 108 |
+
If you've tried everything and still have issues:
|
| 109 |
+
1. Include ALL version info (operating system, bitsandbytes, pytorch, cuda, python)
|
| 110 |
+
2. Describe what you've tried in detail
|
| 111 |
+
3. Open an issue with this information:
|
| 112 |
+
https://github.com/bitsandbytes-foundation/bitsandbytes/issues
|
| 113 |
+
|
| 114 |
+
Native code method attempted to call: lib.cget_managed_ptr()
|
run-20260503_053748-vjc8361x/files/requirements.txt
ADDED
|
@@ -0,0 +1,234 @@
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|
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|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
packaging==26.0
|
| 2 |
+
wheel==0.46.3
|
| 3 |
+
pip==26.0.1
|
| 4 |
+
webencodings==0.5.1
|
| 5 |
+
pytz==2026.1.post1
|
| 6 |
+
pure_eval==0.2.3
|
| 7 |
+
ptyprocess==0.7.0
|
| 8 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 9 |
+
mpmath==1.3.0
|
| 10 |
+
i2==0.1.63
|
| 11 |
+
fastjsonschema==2.21.2
|
| 12 |
+
better-abc==0.0.3
|
| 13 |
+
zipp==3.23.1
|
| 14 |
+
xxhash==3.7.0
|
| 15 |
+
websocket-client==1.9.0
|
| 16 |
+
webcolors==25.10.0
|
| 17 |
+
wcwidth==0.7.0
|
| 18 |
+
wadler_lindig==0.1.7
|
| 19 |
+
urllib3==2.6.3
|
| 20 |
+
uri-template==1.3.0
|
| 21 |
+
tzdata==2026.2
|
| 22 |
+
typing_extensions==4.15.0
|
| 23 |
+
traitlets==5.14.3
|
| 24 |
+
tqdm==4.67.3
|
| 25 |
+
tornado==6.5.5
|
| 26 |
+
tinycss2==1.4.0
|
| 27 |
+
threadpoolctl==3.6.0
|
| 28 |
+
tenacity==9.1.4
|
| 29 |
+
sympy==1.14.0
|
| 30 |
+
soupsieve==2.8.3
|
| 31 |
+
sniffio==1.3.1
|
| 32 |
+
smmap==5.0.3
|
| 33 |
+
six==1.17.0
|
| 34 |
+
sentencepiece==0.2.1
|
| 35 |
+
Send2Trash==2.1.0
|
| 36 |
+
safetensors==0.5.3
|
| 37 |
+
ruff==0.14.2
|
| 38 |
+
rpds-py==0.30.0
|
| 39 |
+
rfc3986-validator==0.1.1
|
| 40 |
+
regex==2026.4.4
|
| 41 |
+
pyzmq==27.1.0
|
| 42 |
+
PyYAML==6.0.3
|
| 43 |
+
python-json-logger==4.1.0
|
| 44 |
+
python-dotenv==1.2.2
|
| 45 |
+
pyparsing==3.3.2
|
| 46 |
+
Pygments==2.20.0
|
| 47 |
+
pycparser==3.0
|
| 48 |
+
pyarrow==24.0.0
|
| 49 |
+
psutil==7.2.2
|
| 50 |
+
protobuf==6.33.6
|
| 51 |
+
propcache==0.4.1
|
| 52 |
+
prometheus_client==0.25.0
|
| 53 |
+
pluggy==1.6.0
|
| 54 |
+
platformdirs==4.9.6
|
| 55 |
+
pillow==12.2.0
|
| 56 |
+
pexpect==4.9.0
|
| 57 |
+
parso==0.8.7
|
| 58 |
+
pandocfilters==1.5.1
|
| 59 |
+
orjson==3.11.0
|
| 60 |
+
nvidia-nvtx-cu12==12.6.77
|
| 61 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 62 |
+
nvidia-nccl-cu12==2.26.2
|
| 63 |
+
nvidia-curand-cu12==10.3.7.77
|
| 64 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 65 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 66 |
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nvidia-cuda-nvrtc-cu12==12.6.77
|
| 67 |
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nvidia-cuda-cupti-cu12==12.6.80
|
| 68 |
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nvidia-cublas-cu12==12.6.4.1
|
| 69 |
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numpy==1.26.4
|
| 70 |
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networkx==3.6.1
|
| 71 |
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nest-asyncio==1.6.0
|
| 72 |
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natsort==8.4.0
|
| 73 |
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narwhals==2.20.0
|
| 74 |
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multidict==6.7.1
|
| 75 |
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mistune==3.2.0
|
| 76 |
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mdurl==0.1.2
|
| 77 |
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MarkupSafe==3.0.3
|
| 78 |
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lark==1.3.1
|
| 79 |
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kiwisolver==1.5.0
|
| 80 |
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jupyterlab_pygments==0.3.0
|
| 81 |
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jsonpointer==3.1.1
|
| 82 |
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json5==0.14.0
|
| 83 |
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joblib==1.5.3
|
| 84 |
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jiter==0.14.0
|
| 85 |
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iniconfig==2.3.0
|
| 86 |
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importlib_resources==7.1.0
|
| 87 |
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idna==3.13
|
| 88 |
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hf-xet==1.4.3
|
| 89 |
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h11==0.16.0
|
| 90 |
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fsspec==2025.3.0
|
| 91 |
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frozenlist==1.8.0
|
| 92 |
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fqdn==1.5.1
|
| 93 |
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fonttools==4.62.1
|
| 94 |
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filelock==3.29.0
|
| 95 |
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fancy-einsum==0.0.3
|
| 96 |
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executing==2.2.1
|
| 97 |
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einops==0.8.2
|
| 98 |
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dol==0.3.41
|
| 99 |
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docstring_parser==0.18.0
|
| 100 |
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distro==1.9.0
|
| 101 |
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dill==0.3.8
|
| 102 |
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defusedxml==0.7.1
|
| 103 |
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decorator==5.2.1
|
| 104 |
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debugpy==1.8.20
|
| 105 |
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cycler==0.12.1
|
| 106 |
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comm==0.2.3
|
| 107 |
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click==8.2.1
|
| 108 |
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charset-normalizer==3.4.7
|
| 109 |
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certifi==2026.4.22
|
| 110 |
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bleach==6.3.0
|
| 111 |
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beartype==0.14.1
|
| 112 |
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babel==2.18.0
|
| 113 |
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attrs==26.1.0
|
| 114 |
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async-lru==2.3.0
|
| 115 |
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asttokens==3.0.1
|
| 116 |
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annotated-types==0.7.0
|
| 117 |
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aiohappyeyeballs==2.6.1
|
| 118 |
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yarl==1.23.0
|
| 119 |
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typing-inspection==0.4.2
|
| 120 |
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typeguard==4.5.1
|
| 121 |
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terminado==0.18.1
|
| 122 |
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stack-data==0.6.3
|
| 123 |
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simple-parsing==0.1.8
|
| 124 |
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sentry-sdk==2.58.0
|
| 125 |
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scipy==1.17.1
|
| 126 |
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rfc3987-syntax==1.1.0
|
| 127 |
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rfc3339-validator==0.1.4
|
| 128 |
+
requests==2.32.4
|
| 129 |
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referencing==0.37.0
|
| 130 |
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python-dateutil==2.9.0.post0
|
| 131 |
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pytest==8.4.1
|
| 132 |
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pydantic_core==2.41.5
|
| 133 |
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prompt_toolkit==3.0.52
|
| 134 |
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plotly==6.3.0
|
| 135 |
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patsy==1.0.2
|
| 136 |
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nvidia-cusparse-cu12==12.5.4.2
|
| 137 |
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nvidia-cufft-cu12==11.3.0.4
|
| 138 |
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nvidia-cudnn-cu12==9.5.1.17
|
| 139 |
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nltk==3.9.4
|
| 140 |
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multiprocess==0.70.16
|
| 141 |
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matplotlib-inline==0.2.1
|
| 142 |
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markdown-it-py==4.0.0
|
| 143 |
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jupyter_core==5.9.1
|
| 144 |
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Jinja2==3.1.6
|
| 145 |
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jedi==0.20.0
|
| 146 |
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jaxtyping==0.3.2
|
| 147 |
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ipython_pygments_lexers==1.1.1
|
| 148 |
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importlib_metadata==9.0.0
|
| 149 |
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httpcore==1.0.9
|
| 150 |
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gitdb==4.0.12
|
| 151 |
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contourpy==1.3.3
|
| 152 |
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config2py==0.1.47
|
| 153 |
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cffi==2.0.0
|
| 154 |
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beautifulsoup4==4.14.3
|
| 155 |
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anyio==4.13.0
|
| 156 |
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aiosignal==1.4.0
|
| 157 |
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tiktoken==0.12.0
|
| 158 |
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scikit-learn==1.7.1
|
| 159 |
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rich==15.0.0
|
| 160 |
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pydantic==2.12.4
|
| 161 |
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py2store==0.1.22
|
| 162 |
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pandas==2.3.1
|
| 163 |
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nvidia-cusolver-cu12==11.7.1.2
|
| 164 |
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matplotlib==3.10.9
|
| 165 |
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jupyter_server_terminals==0.5.4
|
| 166 |
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jupyter_client==8.8.0
|
| 167 |
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jsonschema-specifications==2025.9.1
|
| 168 |
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ipython==9.4.0
|
| 169 |
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huggingface_hub==0.36.2
|
| 170 |
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httpx==0.28.1
|
| 171 |
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graze==0.1.39
|
| 172 |
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GitPython==3.1.49
|
| 173 |
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arrow==1.4.0
|
| 174 |
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argon2-cffi-bindings==25.1.0
|
| 175 |
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aiohttp==3.13.5
|
| 176 |
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wandb==0.21.0
|
| 177 |
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tokenizers==0.22.2
|
| 178 |
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statsmodels==0.14.6
|
| 179 |
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seaborn==0.13.2
|
| 180 |
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openai==2.33.0
|
| 181 |
+
jsonschema==4.26.0
|
| 182 |
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isoduration==20.11.0
|
| 183 |
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ipykernel==7.2.0
|
| 184 |
+
babe==0.0.7
|
| 185 |
+
argon2-cffi==25.1.0
|
| 186 |
+
transformers==4.56.1
|
| 187 |
+
schedulefree==1.4.1
|
| 188 |
+
plotly-express==0.4.1
|
| 189 |
+
nbformat==5.10.4
|
| 190 |
+
litellm==1.74.7
|
| 191 |
+
datasets==4.0.0
|
| 192 |
+
accelerate==1.13.0
|
| 193 |
+
trl==0.22.2
|
| 194 |
+
transformers-stream-generator==0.0.5
|
| 195 |
+
peft==0.16.0
|
| 196 |
+
nbclient==0.10.4
|
| 197 |
+
jupyter-events==0.12.1
|
| 198 |
+
eai-sparsify==1.3.0
|
| 199 |
+
transformer-lens==2.17.0
|
| 200 |
+
nbconvert==7.17.1
|
| 201 |
+
nvidia-cusparse==12.6.3.3
|
| 202 |
+
jupyter_server==2.17.0
|
| 203 |
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notebook_shim==0.2.4
|
| 204 |
+
jupyterlab_server==2.28.0
|
| 205 |
+
jupyter-lsp==2.3.1
|
| 206 |
+
jupyterlab==4.4.10
|
| 207 |
+
notebook==7.4.4
|
| 208 |
+
sae-scoping==2020.0.0
|
| 209 |
+
mypy_extensions==1.1.0
|
| 210 |
+
typing-inspect==0.9.0
|
| 211 |
+
pandera==0.31.1
|
| 212 |
+
bitsandbytes==0.49.2
|
| 213 |
+
hf_transfer==0.1.9
|
| 214 |
+
nvidia-cufft==12.0.0.61
|
| 215 |
+
sae-lens==6.43.0
|
| 216 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 217 |
+
cuda-toolkit==13.0.2
|
| 218 |
+
triton==3.6.0
|
| 219 |
+
cuda-bindings==13.2.0
|
| 220 |
+
setuptools==81.0.0
|
| 221 |
+
nvidia-nvtx==13.0.85
|
| 222 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 223 |
+
nvidia-nvjitlink==13.0.88
|
| 224 |
+
nvidia-nccl-cu13==2.28.9
|
| 225 |
+
nvidia-curand==10.4.0.35
|
| 226 |
+
nvidia-cufile==1.15.1.6
|
| 227 |
+
nvidia-cuda-runtime==13.0.96
|
| 228 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 229 |
+
nvidia-cuda-cupti==13.0.85
|
| 230 |
+
nvidia-cublas==13.1.0.3
|
| 231 |
+
cuda-pathfinder==1.5.4
|
| 232 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 233 |
+
nvidia-cusolver==12.0.4.66
|
| 234 |
+
torch==2.11.0
|
run-20260503_053748-vjc8361x/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39",
|
| 3 |
+
"python": "CPython 3.12.13",
|
| 4 |
+
"startedAt": "2026-05-03T05:37:48.171009Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--train-domain",
|
| 7 |
+
"biology",
|
| 8 |
+
"--attack-domain",
|
| 9 |
+
"physics",
|
| 10 |
+
"--stage",
|
| 11 |
+
"attack",
|
| 12 |
+
"--hf-recover-repo",
|
| 13 |
+
"roonbug/2b63aec8",
|
| 14 |
+
"--dev",
|
| 15 |
+
"--device",
|
| 16 |
+
"cuda",
|
| 17 |
+
"--firing-rate-threshold",
|
| 18 |
+
"2e-5",
|
| 19 |
+
"--gemma3",
|
| 20 |
+
"--max-steps-attack",
|
| 21 |
+
"10000"
|
| 22 |
+
],
|
| 23 |
+
"program": "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py",
|
| 24 |
+
"codePath": "experiments/script_scoping_pipeline_stemqa.py",
|
| 25 |
+
"codePathLocal": "experiments/script_scoping_pipeline_stemqa.py",
|
| 26 |
+
"git": {
|
| 27 |
+
"remote": "git@github.com:4gatepylon/SAEScoping.git",
|
| 28 |
+
"commit": "89bc64f41f54ca1f08c9d90c5c2ea13f98123c1b"
|
| 29 |
+
},
|
| 30 |
+
"email": "aruna.evam@gmail.com",
|
| 31 |
+
"root": "/root/SAEScoping",
|
| 32 |
+
"host": "305dff266a17",
|
| 33 |
+
"executable": "/root/miniconda3/envs/sae/bin/python",
|
| 34 |
+
"cpu_count": 64,
|
| 35 |
+
"cpu_count_logical": 128,
|
| 36 |
+
"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 37 |
+
"gpu_count": 1,
|
| 38 |
+
"disk": {
|
| 39 |
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"/": {
|
| 40 |
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"total": "107374182400",
|
| 41 |
+
"used": "9989619712"
|
| 42 |
+
}
|
| 43 |
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},
|
| 44 |
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"memory": {
|
| 45 |
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"total": "1622884343808"
|
| 46 |
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},
|
| 47 |
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"gpu_nvidia": [
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 50 |
+
"memoryTotal": "102641958912",
|
| 51 |
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"cudaCores": 24064,
|
| 52 |
+
"architecture": "Blackwell",
|
| 53 |
+
"uuid": "GPU-7c34c3f0-be50-1999-a922-ffbfa212e2da"
|
| 54 |
+
}
|
| 55 |
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],
|
| 56 |
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"cudaVersion": "13.0",
|
| 57 |
+
"writerId": "4cm3mzfydp843aw35eswianerjxz65yv"
|
| 58 |
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}
|
run-20260503_053748-vjc8361x/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"llm_judge/physics/attack_scope/relevance_pre_attack":0.9,"pre-attack-baseline/llm_judge/biology/in_scope/relevance":0.965,"llm_judge/biology/in_scope/relevance_pre_attack":0.965,"llm_judge/biology/in_scope/quality_pre_attack":0.8616666666666667,"llm_judge/physics/attack_scope/ground_truth_similarity_pre_attack":0.375,"_step":1,"_wandb":{"runtime":432},"pre-attack-baseline/llm_judge/physics/attack_scope/fluency":0.685,"llm_judge/physics/attack_scope/fluency_pre_attack":0.685,"trainer/global_step":0,"llm_judge/biology/in_scope/ground_truth_similarity_pre_attack":0.675,"pre-attack-baseline/llm_judge/biology/in_scope/fluency":0.945,"pre-attack-baseline/llm_judge/physics/attack_scope/quality":0.6533333333333333,"llm_judge/biology/in_scope/fluency_pre_attack":0.945,"pre-attack-baseline/llm_judge/biology/in_scope/quality":0.8616666666666667,"_runtime":432,"pre-attack-baseline/llm_judge/physics/attack_scope/ground_truth_similarity":0.375,"pre-attack-baseline/llm_judge/biology/in_scope/ground_truth_similarity":0.675,"pre-attack-baseline/llm_judge/physics/attack_scope/relevance":0.9,"_timestamp":1.7777870675259757e+09,"llm_judge/physics/attack_scope/quality_pre_attack":0.6533333333333333}
|
run-20260503_053748-vjc8361x/logs/debug-core.log
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-05-03T05:37:44.045823053Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpdrc7b13s/port-10490.txt","pid":10490,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-05-03T05:37:44.04639809Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":10490}
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| 3 |
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{"time":"2026-05-03T05:37:44.046393643Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-10490-11964-1484638266/socket","Net":"unix"}}
|
| 4 |
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{"time":"2026-05-03T05:37:44.234087197Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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| 5 |
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{"time":"2026-05-03T05:37:44.236697902Z","level":"INFO","msg":"handleInformInit: received","streamId":"ea4e6pox","id":"1(@)"}
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| 6 |
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{"time":"2026-05-03T05:37:44.422233993Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"ea4e6pox","id":"1(@)"}
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| 7 |
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{"time":"2026-05-03T05:37:48.169912982Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"ea4e6pox","id":"1(@)"}
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| 8 |
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{"time":"2026-05-03T05:37:48.17102606Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"ea4e6pox","id":"1(@)"}
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| 9 |
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{"time":"2026-05-03T05:37:48.172268753Z","level":"INFO","msg":"handleInformInit: received","streamId":"vjc8361x","id":"1(@)"}
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| 10 |
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{"time":"2026-05-03T05:37:48.349911537Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"vjc8361x","id":"1(@)"}
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| 11 |
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{"time":"2026-05-03T05:45:00.847070746Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"}
|
| 12 |
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{"time":"2026-05-03T05:45:00.847136234Z","level":"INFO","msg":"connection: closing","id":"1(@)"}
|
| 13 |
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{"time":"2026-05-03T05:45:00.847149694Z","level":"INFO","msg":"server is shutting down"}
|
| 14 |
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{"time":"2026-05-03T05:45:00.847220872Z","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
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| 15 |
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{"time":"2026-05-03T05:45:00.847253671Z","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-10490-11964-1484638266/socket","Net":"unix"}}
|
| 16 |
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{"time":"2026-05-03T05:45:01.316378684Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
|
| 17 |
+
{"time":"2026-05-03T05:45:01.316391173Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
|
| 18 |
+
{"time":"2026-05-03T05:45:01.316399205Z","level":"INFO","msg":"server is closed"}
|
run-20260503_053748-vjc8361x/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-05-03T05:37:48.172408233Z","level":"INFO","msg":"stream: starting","core version":"0.21.0"}
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| 2 |
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{"time":"2026-05-03T05:37:48.349871937Z","level":"INFO","msg":"stream: created new stream","id":"vjc8361x"}
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| 3 |
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{"time":"2026-05-03T05:37:48.34990706Z","level":"INFO","msg":"stream: started","id":"vjc8361x"}
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| 4 |
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{"time":"2026-05-03T05:37:48.349958197Z","level":"INFO","msg":"handler: started","stream_id":"vjc8361x"}
|
| 5 |
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{"time":"2026-05-03T05:37:48.349945839Z","level":"INFO","msg":"writer: Do: started","stream_id":"vjc8361x"}
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| 6 |
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{"time":"2026-05-03T05:37:48.349974843Z","level":"INFO","msg":"sender: started","stream_id":"vjc8361x"}
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| 7 |
+
{"time":"2026-05-03T05:45:00.847196345Z","level":"INFO","msg":"stream: closing","id":"vjc8361x"}
|
| 8 |
+
{"time":"2026-05-03T05:45:01.120381023Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 9 |
+
{"time":"2026-05-03T05:45:01.315922436Z","level":"INFO","msg":"handler: closed","stream_id":"vjc8361x"}
|
| 10 |
+
{"time":"2026-05-03T05:45:01.315950698Z","level":"INFO","msg":"writer: Close: closed","stream_id":"vjc8361x"}
|
| 11 |
+
{"time":"2026-05-03T05:45:01.31596526Z","level":"INFO","msg":"sender: closed","stream_id":"vjc8361x"}
|
| 12 |
+
{"time":"2026-05-03T05:45:01.316070599Z","level":"INFO","msg":"stream: closed","id":"vjc8361x"}
|
run-20260503_053748-vjc8361x/logs/debug.log
ADDED
|
@@ -0,0 +1,20 @@
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| 1 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:setup_run_log_directory():703] Logging user logs to /root/SAEScoping/wandb/run-20260503_053748-vjc8361x/logs/debug.log
|
| 2 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to /root/SAEScoping/wandb/run-20260503_053748-vjc8361x/logs/debug-internal.log
|
| 3 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:init():830] calling init triggers
|
| 4 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:init():835] wandb.init called with sweep_config: {}
|
| 5 |
+
config: {'_wandb': {}}
|
| 6 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:init():871] starting backend
|
| 7 |
+
2026-05-03 05:37:48,171 INFO MainThread:10490 [wandb_init.py:init():874] sending inform_init request
|
| 8 |
+
2026-05-03 05:37:48,172 INFO MainThread:10490 [wandb_init.py:init():882] backend started and connected
|
| 9 |
+
2026-05-03 05:37:48,173 INFO MainThread:10490 [wandb_init.py:init():953] updated telemetry
|
| 10 |
+
2026-05-03 05:37:48,177 INFO MainThread:10490 [wandb_init.py:init():977] communicating run to backend with 180.0 second timeout
|
| 11 |
+
2026-05-03 05:37:48,646 INFO MainThread:10490 [wandb_init.py:init():1029] starting run threads in backend
|
| 12 |
+
2026-05-03 05:37:48,719 INFO MainThread:10490 [wandb_run.py:_console_start():2458] atexit reg
|
| 13 |
+
2026-05-03 05:37:48,720 INFO MainThread:10490 [wandb_run.py:_redirect():2306] redirect: wrap_raw
|
| 14 |
+
2026-05-03 05:37:48,720 INFO MainThread:10490 [wandb_run.py:_redirect():2375] Wrapping output streams.
|
| 15 |
+
2026-05-03 05:37:48,720 INFO MainThread:10490 [wandb_run.py:_redirect():2398] Redirects installed.
|
| 16 |
+
2026-05-03 05:37:48,720 INFO MainThread:10490 [wandb_init.py:init():1075] run started, returning control to user process
|
| 17 |
+
2026-05-03 05:44:49,244 INFO MainThread:10490 [wandb_run.py:_config_callback():1363] config_cb None None {'text_config': {'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'bfloat16', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': None, 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 2, 'pad_token_id': 0, 'eos_token_id': 1, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 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'final_logit_softcapping': None, 'attn_logit_softcapping': None, 'layer_types': ['sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'sliding_attention', 'full_attention'], 'rope_local_base_freq': 10000.0, 'rope_scaling': {'factor': 8.0, 'rope_type': 'linear'}, 'output_attentions': False}, 'vision_config': {'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'bfloat16', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': None, 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, '_name_or_path': '', 'model_type': 'siglip_vision_model', 'vision_use_head': False, 'tf_legacy_loss': False, 'use_bfloat16': False, 'hidden_size': 1152, 'intermediate_size': 4304, 'num_hidden_layers': 27, 'num_attention_heads': 16, 'num_channels': 3, 'patch_size': 14, 'image_size': 896, 'attention_dropout': 0.0, 'layer_norm_eps': 1e-06, 'hidden_act': 'gelu_pytorch_tanh', 'output_attentions': False}, 'mm_tokens_per_image': 256, 'boi_token_index': 255999, 'eoi_token_index': 256000, 'image_token_index': 262144, 'initializer_range': 0.02, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'bfloat16', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['Gemma3ForConditionalGeneration'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 2, 'pad_token_id': 0, 'eos_token_id': 1, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, '_name_or_path': 'roonbug/2b63aec8', 'transformers_version': '4.56.1', 'model_type': 'gemma3', 'tf_legacy_loss': False, 'use_bfloat16': False, 'output_attentions': False, 'output_dir': '/root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 16, 'eval_accumulation_steps': 16, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 2e-05, 'weight_decay': 0.1, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 1, 'max_steps': 10000, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.1, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/root/SAEScoping/experiments/outputs_scoping/google--gemma-3-12b-it/layer_31--width_16k--canonical/biology/h2e-05/k6339/6989u00w/attack/physics/vjc8361x/runs/May03_05-44-27_305dff266a17', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 5, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 100, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': True, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': {'use_reentrant': False}, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'model_init_kwargs': None, 'chat_template_path': None, 'dataset_text_field': 'text', 'dataset_kwargs': None, 'dataset_num_proc': None, 'eos_token': '<EOS_TOKEN>', 'pad_token': '<PAD_TOKEN>', 'packing': False, 'packing_strategy': 'bfd', 'padding_free': False, 'pad_to_multiple_of': None, 'eval_packing': None, 'completion_only_loss': None, 'assistant_only_loss': False, 'activation_offloading': False}
|
| 18 |
+
2026-05-03 05:44:49,246 INFO MainThread:10490 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 12187325040 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7b814c367d40>>
|
| 19 |
+
2026-05-03 05:44:49,246 INFO MainThread:10490 [wandb_run.py:_config_callback():1363] config_cb model/num_parameters 12187325040 None
|
| 20 |
+
2026-05-03 05:45:00,846 INFO MsgRouterThr:10490 [mailbox.py:close():129] [no run ID] Closing mailbox, abandoning 2 handles.
|
run-20260503_054932-zwah87xe/files/config.yaml
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.21.0
|
| 4 |
+
e:
|
| 5 |
+
lsjv4tkybxmt4nowgriy3nbmbjn0bs4o:
|
| 6 |
+
args:
|
| 7 |
+
- --train-domain
|
| 8 |
+
- biology
|
| 9 |
+
- --attack-domain
|
| 10 |
+
- physics
|
| 11 |
+
- --stage
|
| 12 |
+
- attack
|
| 13 |
+
- --hf-recover-repo
|
| 14 |
+
- roonbug/2b63aec8
|
| 15 |
+
- --dev
|
| 16 |
+
- --device
|
| 17 |
+
- cuda
|
| 18 |
+
- --firing-rate-threshold
|
| 19 |
+
- "2e-5"
|
| 20 |
+
- --gemma3
|
| 21 |
+
- --max-steps-attack
|
| 22 |
+
- "10000"
|
| 23 |
+
- --skip-pre-training-eval
|
| 24 |
+
codePath: experiments/script_scoping_pipeline_stemqa.py
|
| 25 |
+
codePathLocal: experiments/script_scoping_pipeline_stemqa.py
|
| 26 |
+
cpu_count: 64
|
| 27 |
+
cpu_count_logical: 128
|
| 28 |
+
cudaVersion: "13.0"
|
| 29 |
+
disk:
|
| 30 |
+
/:
|
| 31 |
+
total: "107374182400"
|
| 32 |
+
used: "12138627072"
|
| 33 |
+
email: aruna.evam@gmail.com
|
| 34 |
+
executable: /root/miniconda3/envs/sae/bin/python
|
| 35 |
+
git:
|
| 36 |
+
commit: 89bc64f41f54ca1f08c9d90c5c2ea13f98123c1b
|
| 37 |
+
remote: git@github.com:4gatepylon/SAEScoping.git
|
| 38 |
+
gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 39 |
+
gpu_count: 1
|
| 40 |
+
gpu_nvidia:
|
| 41 |
+
- architecture: Blackwell
|
| 42 |
+
cudaCores: 24064
|
| 43 |
+
memoryTotal: "102641958912"
|
| 44 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 45 |
+
uuid: GPU-7c34c3f0-be50-1999-a922-ffbfa212e2da
|
| 46 |
+
host: 305dff266a17
|
| 47 |
+
memory:
|
| 48 |
+
total: "1622884343808"
|
| 49 |
+
os: Linux-6.8.0-106-generic-x86_64-with-glibc2.39
|
| 50 |
+
program: /root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py
|
| 51 |
+
python: CPython 3.12.13
|
| 52 |
+
root: /root/SAEScoping
|
| 53 |
+
startedAt: "2026-05-03T05:49:32.968035Z"
|
| 54 |
+
writerId: lsjv4tkybxmt4nowgriy3nbmbjn0bs4o
|
| 55 |
+
m: []
|
| 56 |
+
python_version: 3.12.13
|
| 57 |
+
t:
|
| 58 |
+
"1":
|
| 59 |
+
- 1
|
| 60 |
+
- 5
|
| 61 |
+
- 11
|
| 62 |
+
- 49
|
| 63 |
+
- 51
|
| 64 |
+
- 53
|
| 65 |
+
- 71
|
| 66 |
+
- 84
|
| 67 |
+
- 95
|
| 68 |
+
- 98
|
| 69 |
+
- 105
|
| 70 |
+
"2":
|
| 71 |
+
- 1
|
| 72 |
+
- 5
|
| 73 |
+
- 11
|
| 74 |
+
- 49
|
| 75 |
+
- 51
|
| 76 |
+
- 53
|
| 77 |
+
- 71
|
| 78 |
+
- 84
|
| 79 |
+
- 95
|
| 80 |
+
- 98
|
| 81 |
+
- 105
|
| 82 |
+
"3":
|
| 83 |
+
- 2
|
| 84 |
+
- 13
|
| 85 |
+
"4": 3.12.13
|
| 86 |
+
"5": 0.21.0
|
| 87 |
+
"6": 4.56.1
|
| 88 |
+
"12": 0.21.0
|
| 89 |
+
"13": linux-x86_64
|
run-20260503_054932-zwah87xe/files/output.log
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Pruning: keeping 6339/16384 neurons (threshold=2e-05)
|
run-20260503_054932-zwah87xe/files/requirements.txt
ADDED
|
@@ -0,0 +1,235 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
packaging==26.0
|
| 2 |
+
wheel==0.46.3
|
| 3 |
+
pip==26.0.1
|
| 4 |
+
webencodings==0.5.1
|
| 5 |
+
pytz==2026.1.post1
|
| 6 |
+
pure_eval==0.2.3
|
| 7 |
+
ptyprocess==0.7.0
|
| 8 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 9 |
+
mpmath==1.3.0
|
| 10 |
+
i2==0.1.63
|
| 11 |
+
fastjsonschema==2.21.2
|
| 12 |
+
better-abc==0.0.3
|
| 13 |
+
zipp==3.23.1
|
| 14 |
+
xxhash==3.7.0
|
| 15 |
+
websocket-client==1.9.0
|
| 16 |
+
webcolors==25.10.0
|
| 17 |
+
wcwidth==0.7.0
|
| 18 |
+
wadler_lindig==0.1.7
|
| 19 |
+
urllib3==2.6.3
|
| 20 |
+
uri-template==1.3.0
|
| 21 |
+
tzdata==2026.2
|
| 22 |
+
typing_extensions==4.15.0
|
| 23 |
+
traitlets==5.14.3
|
| 24 |
+
tqdm==4.67.3
|
| 25 |
+
tornado==6.5.5
|
| 26 |
+
tinycss2==1.4.0
|
| 27 |
+
threadpoolctl==3.6.0
|
| 28 |
+
tenacity==9.1.4
|
| 29 |
+
sympy==1.14.0
|
| 30 |
+
soupsieve==2.8.3
|
| 31 |
+
sniffio==1.3.1
|
| 32 |
+
smmap==5.0.3
|
| 33 |
+
six==1.17.0
|
| 34 |
+
sentencepiece==0.2.1
|
| 35 |
+
Send2Trash==2.1.0
|
| 36 |
+
safetensors==0.5.3
|
| 37 |
+
ruff==0.14.2
|
| 38 |
+
rpds-py==0.30.0
|
| 39 |
+
rfc3986-validator==0.1.1
|
| 40 |
+
regex==2026.4.4
|
| 41 |
+
pyzmq==27.1.0
|
| 42 |
+
PyYAML==6.0.3
|
| 43 |
+
python-json-logger==4.1.0
|
| 44 |
+
python-dotenv==1.2.2
|
| 45 |
+
pyparsing==3.3.2
|
| 46 |
+
Pygments==2.20.0
|
| 47 |
+
pycparser==3.0
|
| 48 |
+
pyarrow==24.0.0
|
| 49 |
+
psutil==7.2.2
|
| 50 |
+
protobuf==6.33.6
|
| 51 |
+
propcache==0.4.1
|
| 52 |
+
prometheus_client==0.25.0
|
| 53 |
+
pluggy==1.6.0
|
| 54 |
+
platformdirs==4.9.6
|
| 55 |
+
pillow==12.2.0
|
| 56 |
+
pexpect==4.9.0
|
| 57 |
+
parso==0.8.7
|
| 58 |
+
pandocfilters==1.5.1
|
| 59 |
+
orjson==3.11.0
|
| 60 |
+
nvidia-nvtx-cu12==12.8.90
|
| 61 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 62 |
+
nvidia-nccl-cu12==2.28.9
|
| 63 |
+
nvidia-curand-cu12==10.3.9.90
|
| 64 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 65 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 66 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 67 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 68 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 69 |
+
numpy==1.26.4
|
| 70 |
+
networkx==3.6.1
|
| 71 |
+
nest-asyncio==1.6.0
|
| 72 |
+
natsort==8.4.0
|
| 73 |
+
narwhals==2.20.0
|
| 74 |
+
multidict==6.7.1
|
| 75 |
+
mistune==3.2.0
|
| 76 |
+
mdurl==0.1.2
|
| 77 |
+
MarkupSafe==3.0.3
|
| 78 |
+
lark==1.3.1
|
| 79 |
+
kiwisolver==1.5.0
|
| 80 |
+
jupyterlab_pygments==0.3.0
|
| 81 |
+
jsonpointer==3.1.1
|
| 82 |
+
json5==0.14.0
|
| 83 |
+
joblib==1.5.3
|
| 84 |
+
jiter==0.14.0
|
| 85 |
+
iniconfig==2.3.0
|
| 86 |
+
importlib_resources==7.1.0
|
| 87 |
+
idna==3.13
|
| 88 |
+
hf-xet==1.4.3
|
| 89 |
+
h11==0.16.0
|
| 90 |
+
fsspec==2025.3.0
|
| 91 |
+
frozenlist==1.8.0
|
| 92 |
+
fqdn==1.5.1
|
| 93 |
+
fonttools==4.62.1
|
| 94 |
+
filelock==3.29.0
|
| 95 |
+
fancy-einsum==0.0.3
|
| 96 |
+
executing==2.2.1
|
| 97 |
+
einops==0.8.2
|
| 98 |
+
dol==0.3.41
|
| 99 |
+
docstring_parser==0.18.0
|
| 100 |
+
distro==1.9.0
|
| 101 |
+
dill==0.3.8
|
| 102 |
+
defusedxml==0.7.1
|
| 103 |
+
decorator==5.2.1
|
| 104 |
+
debugpy==1.8.20
|
| 105 |
+
cycler==0.12.1
|
| 106 |
+
comm==0.2.3
|
| 107 |
+
click==8.2.1
|
| 108 |
+
charset-normalizer==3.4.7
|
| 109 |
+
certifi==2026.4.22
|
| 110 |
+
bleach==6.3.0
|
| 111 |
+
beartype==0.14.1
|
| 112 |
+
babel==2.18.0
|
| 113 |
+
attrs==26.1.0
|
| 114 |
+
async-lru==2.3.0
|
| 115 |
+
asttokens==3.0.1
|
| 116 |
+
annotated-types==0.7.0
|
| 117 |
+
aiohappyeyeballs==2.6.1
|
| 118 |
+
yarl==1.23.0
|
| 119 |
+
typing-inspection==0.4.2
|
| 120 |
+
typeguard==4.5.1
|
| 121 |
+
terminado==0.18.1
|
| 122 |
+
stack-data==0.6.3
|
| 123 |
+
simple-parsing==0.1.8
|
| 124 |
+
sentry-sdk==2.58.0
|
| 125 |
+
scipy==1.17.1
|
| 126 |
+
rfc3987-syntax==1.1.0
|
| 127 |
+
rfc3339-validator==0.1.4
|
| 128 |
+
requests==2.32.4
|
| 129 |
+
referencing==0.37.0
|
| 130 |
+
python-dateutil==2.9.0.post0
|
| 131 |
+
pytest==8.4.1
|
| 132 |
+
pydantic_core==2.41.5
|
| 133 |
+
prompt_toolkit==3.0.52
|
| 134 |
+
plotly==6.3.0
|
| 135 |
+
patsy==1.0.2
|
| 136 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 137 |
+
torch==2.11.0+cu128
|
| 138 |
+
nltk==3.9.4
|
| 139 |
+
multiprocess==0.70.16
|
| 140 |
+
matplotlib-inline==0.2.1
|
| 141 |
+
markdown-it-py==4.0.0
|
| 142 |
+
jupyter_core==5.9.1
|
| 143 |
+
Jinja2==3.1.6
|
| 144 |
+
jedi==0.20.0
|
| 145 |
+
jaxtyping==0.3.2
|
| 146 |
+
ipython_pygments_lexers==1.1.1
|
| 147 |
+
importlib_metadata==9.0.0
|
| 148 |
+
httpcore==1.0.9
|
| 149 |
+
gitdb==4.0.12
|
| 150 |
+
contourpy==1.3.3
|
| 151 |
+
config2py==0.1.47
|
| 152 |
+
cffi==2.0.0
|
| 153 |
+
beautifulsoup4==4.14.3
|
| 154 |
+
anyio==4.13.0
|
| 155 |
+
aiosignal==1.4.0
|
| 156 |
+
tiktoken==0.12.0
|
| 157 |
+
scikit-learn==1.7.1
|
| 158 |
+
rich==15.0.0
|
| 159 |
+
pydantic==2.12.4
|
| 160 |
+
py2store==0.1.22
|
| 161 |
+
pandas==2.3.1
|
| 162 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 163 |
+
matplotlib==3.10.9
|
| 164 |
+
jupyter_server_terminals==0.5.4
|
| 165 |
+
jupyter_client==8.8.0
|
| 166 |
+
jsonschema-specifications==2025.9.1
|
| 167 |
+
ipython==9.4.0
|
| 168 |
+
huggingface_hub==0.36.2
|
| 169 |
+
httpx==0.28.1
|
| 170 |
+
graze==0.1.39
|
| 171 |
+
GitPython==3.1.49
|
| 172 |
+
arrow==1.4.0
|
| 173 |
+
argon2-cffi-bindings==25.1.0
|
| 174 |
+
aiohttp==3.13.5
|
| 175 |
+
wandb==0.21.0
|
| 176 |
+
nvidia-nvshmem-cu12==3.4.5
|
| 177 |
+
nvidia-cudnn-cu12==9.19.0.56
|
| 178 |
+
tokenizers==0.22.2
|
| 179 |
+
statsmodels==0.14.6
|
| 180 |
+
seaborn==0.13.2
|
| 181 |
+
openai==2.33.0
|
| 182 |
+
jsonschema==4.26.0
|
| 183 |
+
isoduration==20.11.0
|
| 184 |
+
ipykernel==7.2.0
|
| 185 |
+
babe==0.0.7
|
| 186 |
+
argon2-cffi==25.1.0
|
| 187 |
+
transformers==4.56.1
|
| 188 |
+
schedulefree==1.4.1
|
| 189 |
+
plotly-express==0.4.1
|
| 190 |
+
nbformat==5.10.4
|
| 191 |
+
litellm==1.74.7
|
| 192 |
+
datasets==4.0.0
|
| 193 |
+
accelerate==1.13.0
|
| 194 |
+
trl==0.22.2
|
| 195 |
+
transformers-stream-generator==0.0.5
|
| 196 |
+
peft==0.16.0
|
| 197 |
+
nbclient==0.10.4
|
| 198 |
+
jupyter-events==0.12.1
|
| 199 |
+
eai-sparsify==1.3.0
|
| 200 |
+
transformer-lens==2.17.0
|
| 201 |
+
nbconvert==7.17.1
|
| 202 |
+
nvidia-cusparse==12.6.3.3
|
| 203 |
+
jupyter_server==2.17.0
|
| 204 |
+
notebook_shim==0.2.4
|
| 205 |
+
jupyterlab_server==2.28.0
|
| 206 |
+
jupyter-lsp==2.3.1
|
| 207 |
+
jupyterlab==4.4.10
|
| 208 |
+
notebook==7.4.4
|
| 209 |
+
sae-scoping==2020.0.0
|
| 210 |
+
mypy_extensions==1.1.0
|
| 211 |
+
typing-inspect==0.9.0
|
| 212 |
+
pandera==0.31.1
|
| 213 |
+
bitsandbytes==0.49.2
|
| 214 |
+
hf_transfer==0.1.9
|
| 215 |
+
nvidia-cufft==12.0.0.61
|
| 216 |
+
sae-lens==6.43.0
|
| 217 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 218 |
+
cuda-toolkit==12.8.1
|
| 219 |
+
triton==3.6.0
|
| 220 |
+
setuptools==81.0.0
|
| 221 |
+
nvidia-nvtx==13.0.85
|
| 222 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 223 |
+
nvidia-nvjitlink==13.0.88
|
| 224 |
+
nvidia-nccl-cu13==2.28.9
|
| 225 |
+
nvidia-curand==10.4.0.35
|
| 226 |
+
nvidia-cufile==1.15.1.6
|
| 227 |
+
nvidia-cuda-runtime==13.0.96
|
| 228 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 229 |
+
nvidia-cuda-cupti==13.0.85
|
| 230 |
+
nvidia-cublas==13.1.0.3
|
| 231 |
+
cuda-pathfinder==1.5.4
|
| 232 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 233 |
+
nvidia-cusolver==12.0.4.66
|
| 234 |
+
cuda-bindings==12.9.4
|
| 235 |
+
nvidia-cufft-cu12==11.3.3.83
|
run-20260503_054932-zwah87xe/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
{
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| 2 |
+
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| 3 |
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| 4 |
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"startedAt": "2026-05-03T05:49:32.968035Z",
|
| 5 |
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"args": [
|
| 6 |
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"--train-domain",
|
| 7 |
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"biology",
|
| 8 |
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"--attack-domain",
|
| 9 |
+
"physics",
|
| 10 |
+
"--stage",
|
| 11 |
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"attack",
|
| 12 |
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"--hf-recover-repo",
|
| 13 |
+
"roonbug/2b63aec8",
|
| 14 |
+
"--dev",
|
| 15 |
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"--device",
|
| 16 |
+
"cuda",
|
| 17 |
+
"--firing-rate-threshold",
|
| 18 |
+
"2e-5",
|
| 19 |
+
"--gemma3",
|
| 20 |
+
"--max-steps-attack",
|
| 21 |
+
"10000",
|
| 22 |
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"--skip-pre-training-eval"
|
| 23 |
+
],
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| 24 |
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"program": "/root/SAEScoping/experiments/script_scoping_pipeline_stemqa.py",
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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"email": "aruna.evam@gmail.com",
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| 32 |
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"root": "/root/SAEScoping",
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| 33 |
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"host": "305dff266a17",
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| 34 |
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"executable": "/root/miniconda3/envs/sae/bin/python",
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| 35 |
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"cpu_count": 64,
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{
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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"architecture": "Blackwell",
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