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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
15291
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MODEL
9-res-jb
Source/SAE
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Explanations
abbreviations or codes related to technology products or systems
oai_token-act-pair · gpt-3.5-turbo
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identifiers and acronyms related to technology and standards
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/9-res-jb/15291?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-res-jb/15291?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
assetsadobe
-0.81
eleph
-0.77
\'
-0.73
gorilla
-0.72
ancest
-0.68
ric
-0.67
apr
-0.67
esp
-0.66
ze
-0.66
cac
-0.65
POSITIVE LOGITS
N
1.26
F
1.23
B
1.23
E
1.19
Rs
1.17
Y
1.17
V
1.17
Ns
1.16
P
1.16
Ds
1.16
Act
ivations
Density 0.110%
Test
Steer
Stacked
Snippet
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No Known Activations
