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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
14284
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0-res-jb
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Explanations
specific characters or symbols repeated in a sequence
oai_token-act-pair · gpt-3.5-turbo
No Scores
symbols or characters related to special formatting or decorations
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 @ 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/14284?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/14284?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
prepared
-0.74
Nex
-0.74
MO
-0.68
plan
-0.68
om
-0.67
vs
-0.66
MM
-0.66
board
-0.63
Barnes
-0.62
suit
-0.62
POSITIVE LOGITS
¿
4.71
¾
2.21
¼
1.85
³
1.85
»
1.82
¹
1.78
²
1.78
º
1.77
Ł
1.75
½
1.75
Act
ivations
Density 0.011%
Test
Steer
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