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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
21546
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MODEL
11-res-jb
Source/SAE
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oai_token-act-pair · gpt-3.5-turbo
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oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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https://www.neuronpedia.org/gpt2-small/11-res-jb/21546?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
["
-0.80
[...]
-0.73
»
-0.72
âĢķ
-0.72
â̦"
-0.70
..."
-0.70
metic
-0.69
[
-0.69
laun
-0.69
,"
-0.69
POSITIVE LOGITS
(
1.96
(-
1.75
((
1.63
(*
1.55
(\
1.49
($
1.42
(_
1.41
+(
1.39
([
1.39
("
1.35
Act
ivations
Density 0.089%
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