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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
10620
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MODEL
0-res-jb
Source/SAE
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Explanations
dates and times
oai_token-act-pair · gpt-3.5-turbo
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specific numerical dates and related statistics
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/10620?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/10620?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Fac
-0.76
iph
-0.76
McDonald
-0.68
ani
-0.68
Faust
-0.67
Fif
-0.65
hairst
-0.63
fac
-0.62
Fif
-0.62
Gast
-0.61
POSITIVE LOGITS
82
1.57
82
1.55
02
1.54
62
1.46
62
1.42
102
1.37
2002
1.37
1982
1.35
102
1.34
92
1.34
Act
ivations
Density 0.052%
Test
Steer
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