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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
8926
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0-res-jb
Source/SAE
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Explanations
radio-related terms and specifically focuses on identifying cases where FM radios are being discussed or activated in various devices
oai_token-act-pair · gpt-3.5-turbo
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references to FM radio
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/8926?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/8926?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
rid
-0.75
Jes
-0.67
Quin
-0.63
tut
-0.63
tou
-0.62
cap
-0.62
esis
-0.62
åĪ
-0.61
row
-0.60
Serpent
-0.60
POSITIVE LOGITS
FM
3.81
FM
3.63
fm
2.17
Radio
1.21
Radio
1.14
HF
1.12
HF
1.12
RF
1.08
radio
1.07
radio
1.07
Act
ivations
Density 0.016%
Test
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