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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
7662
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MODEL
10-res-jb
Source/SAE
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Explanations
phrases related to evaluation or judgment, especially in relation to individuals or their actions
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to opinions and assessments about individuals, particularly in the context of leadership and public perception
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
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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https://www.neuronpedia.org/gpt2-small/10-res-jb/7662?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
zbollah
-0.81
'/
-0.68
iae
-0.61
pora
-0.60
anguage
-0.58
izo
-0.56
oola
-0.54
imum
-0.54
ather
-0.51
(/
-0.51
POSITIVE LOGITS
him
2.49
him
1.80
his
1.65
HIM
1.63
his
1.54
Him
1.52
His
1.49
he
1.40
He
1.38
His
1.24
Act
ivations
Density 1.191%
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