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steerability-comp-test-submission
steerability-comp-test-submission/steer-comp-participant-sim
steer-comp-participant-sim is a machine learning model from steerability-comp-test-submission. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A CAA (contrastive activation addition) steering pipeline built with AISteer360, frozen to a .spipe bundle.
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Updated Sep 9, 2026
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From the Hugging Face model README
A CAA (contrastive activation addition) steering pipeline built with
AISteer360, frozen to a .spipe
bundle.
ibm-granite/granite-4.1-3bstate_control/caa, mean-difference direction,
multiplier=4.0, norm-preservingformal_enthusiasm.spipe (frozen bundle — manifest +
content-addressed steering vector, no executable code)from steerability.spipe import SPipe
spipe = SPipe.load("formal_enthusiasm.spipe")
print(spipe.verify().render())
pipeline = spipe.pipeline()
pipeline.steer()
response = pipeline.generate(
messages=[{"role": "user", "content": "..."}],
max_new_tokens=60,
do_sample=False,
)