clipscope
usage
import PIL
from clipscope import ConfiguredViT, TopKSAE
device='cpu'
filename_in_hf_repo = "22_resid/1200013184.pt"
sae = TopKSAE.from_pretrained(checkpoint=filename_in_hf_repo, device=device)
locations = [(22, 'resid')]
transformer = ConfiguredViT(locations, device=device)
input = PIL.Image.new("RGB", (224, 224), (0, 0, 0)) # black image for testing
activations = transformer.all_activations(input)[locations[0]] # (1, 257, 1024)
assert activations.shape == (1, 257, 1024)
activations = activations[:, 0] # just the cls token
# alternatively flatten the activations
# activations = activations.flatten(1)
print('activations shape', activations.shape)
output = sae.forward_verbose(activations)
print('output keys', output.keys())
print('latent shape', output['latent'].shape) # (1, 65536)
print('reconstruction shape', output['reconstruction'].shape) # (1, 1024)
1 maintainer
Metadata
1 maintainer
Release files for clipscope 0.1.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| clipscope-0.1.8.tar.gz | 3.9 kB | Without provenance | Details for clipscope-0.1.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| clipscope-0.1.8-py3-none-any.whl | Python 3 | none | any | Details for clipscope-0.1.8-py3-none-any.whl |
Total release size: 8.5 kB
Release files / clipscope-0.1.8.tar.gz
| Download URL | clipscope-0.1.8.tar.gz |
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| Size | 3.9 kB |
| Tags | Source |
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Release files / clipscope-0.1.8-py3-none-any.whl
| Download URL | clipscope-0.1.8-py3-none-any.whl |
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| Size | 4.6 kB |
| Tags | Python 3 |
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