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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
24205
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10-res-jb
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Explanations
technical terms and commands related to programming and computing
oai_token-act-pair · gpt-3.5-turbo
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instances of restrictions or prohibitions
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/24205?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/24205?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Proc
-0.63
llers
-0.61
llo
-0.60
ļ
-0.59
_.
-0.59
Rollins
-0.59
Frie
-0.58
Fa
-0.58
92
-0.58
OOL
-0.57
POSITIVE LOGITS
as
1.41
as
1.21
AS
1.12
AS
1.08
asus
1.05
As
0.98
As
0.90
asm
0.84
ás
0.83
asar
0.82
Act
ivations
Density 0.113%
Test
Steer
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