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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
10684
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0-res-jb
Source/SAE
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Explanations
phrases related to acronyms or abbreviations with the structure 'NOR'
oai_token-act-pair · gpt-3.5-turbo
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references to the NOR designation or acronym in various contexts
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/10684?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/10684?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Xi
-0.90
Qiao
-0.85
Hut
-0.79
ibal
-0.78
Deng
-0.76
ql
-0.75
ugal
-0.75
Woo
-0.74
Xia
-0.72
anian
-0.72
POSITIVE LOGITS
NOR
3.06
NOR
2.95
MH
1.60
MH
1.41
CAN
1.33
RAND
1.20
NTS
1.17
Norm
1.17
FAA
1.13
SAM
1.11
Act
ivations
Density 0.058%
Test
Steer
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No Known Activations