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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
5212
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MODEL
8-res-jb
Source/SAE
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Explanations
numerical values
oai_token-act-pair · gpt-3.5-turbo
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numerical representations or identifiers associated with variables and figures
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 76
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/8-res-jb/5212?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/8-res-jb/5212?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
OFF
-0.88
GOODMAN
-0.79
COM
-0.78
MAY
-0.74
FOX
-0.69
MUST
-0.68
COVER
-0.68
SHOULD
-0.67
IPS
-0.66
RAW
-0.65
POSITIVE LOGITS
b
1.47
n
1.45
d
1.43
h
1.41
f
1.40
s
1.39
p
1.37
l
1.34
r
1.34
t
1.34
Act
ivations
Density 0.253%
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