Qwen3-32b fails on from_pretrained
#4
by jacopoteneggi - opened
To reproduce:
import json
import sys
from importlib.metadata import distribution, version
from jlens import JacobianLens
REPO = "neuronpedia/jacobian-lens"
FILENAME = "qwen3-32b/jlens/Salesforce-wikitext/Qwen3-32B_jacobian_lens.pt"
def main():
print("==== Environment ====")
print(f"Python: {sys.version}")
for package in ("jlens", "torch", "huggingface_hub"):
print(f"{package}: {version(package)}")
print()
print("==== Loading Lens ====")
direct_url = distribution("jlens").read_text("direct_url.json")
if direct_url:
commit = json.loads(direct_url).get("vcs_info", {}).get("commit_id")
print(f"jlens commit: {commit}")
print(f"Loading {REPO}/{FILENAME}")
lens = JacobianLens.from_pretrained(REPO, filename=FILENAME)
print(f"Loaded successfully: {lens}")
if __name__ == "__main__":
main()
raises the following exception:
==== Environment ====
Python: 3.13.2 (main, Jun 10 2025, 13:41:48) [GCC 13.3.0]
jlens: 0.1.0
torch: 2.9.1+cu128
huggingface_hub: 1.11.0
==== Loading Lens ====
jlens commit: 581d398613e5602a5af361e1c34d3a92ea82ba8e
Loading neuronpedia/jacobian-lens/qwen3-32b/jlens/Salesforce-wikitext/Qwen3-32B_jacobian_lens.pt
[...]
ValueError: .../qwen3-32b/jlens/Salesforce-wikitext/Qwen3-32B_jacobian_lens.pt is not a JacobianLens file (found keys ['jacobian_sum', 'n_done', 'next_idx', 'source_layers']; a fit() checkpoint?)
thank you for your help!
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