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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
16230
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MODEL
10-res-jb
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Explanations
date and time-related information
oai_token-act-pair · gpt-3.5-turbo
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occurrences of dates and numerical references
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/16230?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/16230?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ylum
-0.67
corrid
-0.66
Redd
-0.66
glim
-0.65
[[
-0.62
Origin
-0.62
paran
-0.61
pacif
-0.61
Limit
-0.61
ether
-0.60
POSITIVE LOGITS
2013
1.73
2014
1.70
2012
1.66
2015
1.61
2011
1.56
2014
1.55
2012
1.52
2013
1.51
2011
1.42
2015
1.42
Act
ivations
Density 0.143%
Test
Steer
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No Known Activations