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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
6-RES-JB
6850
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6-res-jb
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oai_token-act-pair · gpt-3.5-turbo
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email addresses and contact-related terms
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 6-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
6
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res-jb/6850?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/6-res-jb/6850?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
fman
-0.70
poppy
-0.64
*/(
-0.62
milo
-0.60
AFB
-0.60
âĵĺ
-0.59
chio
-0.59
wcs
-0.58
ometimes
-0.58
ittle
-0.57
POSITIVE LOGITS
]
1.78
']
1.60
]"
1.59
?]
1.49
],
1.45
]:
1.44
][
1.41
])
1.39
]=
1.38
].
1.37
Act
ivations
Density 0.075%
Test
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