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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
21991
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MODEL
10-res-jb
Source/SAE
INDEX
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Explanations
words related to indexing, formatting, and technical elements present in text
oai_token-act-pair · gpt-3.5-turbo
No Scores
various symbols, numbers, and structural elements within the text
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
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/21991?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/21991?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Liberties
-0.68
ival
-0.66
698
-0.66
rek
-0.65
468
-0.62
elim
-0.61
748
-0.61
Sloven
-0.59
678
-0.59
unal
-0.59
POSITIVE LOGITS
111
0.97
11
0.94
911
0.86
211
0.85
1111
0.85
2011
0.84
411
0.84
111
0.83
11
0.83
411
0.80
Act
ivations
Density 0.076%
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