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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
7353
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MODEL
10-res-jb
Source/SAE
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Explanations
HTML tags and programming instructions
oai_token-act-pair · gpt-3.5-turbo
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references to education-related institutions and their attributes
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 @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/7353?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/7353?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
udic
-0.85
pie
-0.82
ãĤº
-0.80
Velvet
-0.80
Äĩ
-0.78
Angelo
-0.72
pol
-0.71
Pablo
-0.70
Vic
-0.70
Poc
-0.67
POSITIVE LOGITS
H
1.43
HH
1.37
HH
1.26
HS
1.25
HT
1.21
h
1.21
HB
1.20
H
1.18
HM
1.18
HC
1.18
Act
ivations
Density 0.683%
Test
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