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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
12-RES-JB
6973
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MODEL
12-res-jb
Source/SAE
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Explanations
information related to fantasy sports leagues and player evaluations
oai_token-act-pair · gpt-3.5-turbo
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phrases related to sports and competition
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 12-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
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.11.hook_resid_post
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/12-res-jb/6973?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/12-res-jb/6973?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
agin
-0.86
rag
-0.84
osis
-0.81
ack
-0.75
ERG
-0.74
OIL
-0.73
gru
-0.71
pregn
-0.70
EG
-0.69
Hodg
-0.69
POSITIVE LOGITS
Mon
2.73
Mon
2.33
mon
1.89
Tue
1.88
MON
1.79
mon
1.77
Fri
1.75
Thu
1.71
Mono
1.67
MON
1.66
Act
ivations
Density 0.261%
Test
Steer
Stacked
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