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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
972
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MODEL
9-res-jb
Source/SAE
INDEX
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Explanations
sequences of numbers and special characters with specific patterns
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical or categorical data related to institutions or locations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/9-res-jb/972?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-res-jb/972?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
utz
-0.76
unk
-0.76
frey
-0.74
unks
-0.69
una
-0.69
UMP
-0.68
ohm
-0.67
ulas
-0.67
Ogre
-0.67
lessness
-0.64
POSITIVE LOGITS
C
1.22
CI
1.18
CS
1.12
CC
1.11
CB
1.10
cs
1.09
cp
1.08
CP
1.06
ci
1.06
c
1.05
Act
ivations
Density 0.669%
Test
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