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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
5-RES-JB
18185
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MODEL
5-res-jb
Source/SAE
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Explanations
specific terms related to scientific substances and processes, particularly those in the biological and nuclear fields
oai_token-act-pair · gpt-3.5-turbo
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words related to biological and chemical processes
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-sonnet-20240620
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 5-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
5
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/5-res-jb/18185?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/5-res-jb/18185?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
knife
-0.78
Beach
-0.77
#$
-0.77
leigh
-0.74
FUL
-0.72
GBT
-0.67
HEAD
-0.65
ball
-0.65
FUN
-0.64
Feast
-0.64
POSITIVE LOGITS
ration
1.13
rium
1.07
ħ
1.01
¹
1.01
¦
1.01
ī
1.00
³
0.98
Ģ
0.98
Ŀ
0.97
raph
0.95
Act
ivations
Density 0.040%
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