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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
718
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MODEL
9-res-jb
Source/SAE
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dates and times
oai_token-act-pair · gpt-3.5-turbo
No Scores
punctuation marks and specific formatting symbols in text
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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/718?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/718?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
ela
-0.86
elo
-0.79
ãĥ¯
-0.78
Tes
-0.77
TPS
-0.74
ba
-0.72
Tes
-0.71
Alic
-0.71
ula
-0.70
Kelvin
-0.70
POSITIVE LOGITS
11
1.31
11
1.21
111
1.01
111
0.94
117
0.94
112
0.94
Rah
0.93
November
0.90
116
0.89
1200
0.88
Act
ivations
Density 0.141%
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