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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
18252
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
search engine names like "Yahoo" and "Bing."
oai_token-act-pair · gpt-3.5-turbo
No Scores
terms and phrases related to internet search engines and their comparisons
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/18252?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/18252?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
)."
-0.91
),"
-0.83
").
-0.77
)"
-0.72
?'"
-0.70
]."
-0.69
accompan
-0.63
.")
-0.62
raq
-0.61
',"
-0.60
POSITIVE LOGITS
(=
1.09
;)
1.07
ðŁĻĤ
1.06
:)
1.03
:-)
1.03
:(
1.00
!:
0.99
(~
0.98
(/
0.98
ðŁĺ
0.96
Act
ivations
Density 0.956%
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