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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
13887
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
mentions of specific dates and various names or terms
oai_token-act-pair · gpt-3.5-turbo
No Scores
proper nouns and geographic locations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
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/13887?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/13887?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
eleph
-1.17
©¶æ
-1.04
exting
-0.94
practition
-0.94
teasp
-0.94
Þ
-0.93
Ý
-0.93
ñ
-0.92
pione
-0.91
unnecess
-0.90
POSITIVE LOGITS
o
1.25
e
1.17
a
1.12
u
1.04
i
1.01
y
1.01
oS
0.98
aq
0.98
an
0.96
ean
0.93
Act
ivations
Density 0.169%
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