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GPT2-SMALL · 1-RES-JB · 5050 ｜ Neuronpedia
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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
1-RES-JB
5050
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MODEL
1-res-jb
Source/SAE
INDEX
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Explanations
names with the specific pattern of 'err' in the middle
oai_token-act-pair · gpt-3.5-turbo
No Scores
mentions of errors or issues related to a specific context, likely in a sports or entertainment setting
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-haiku-5-5
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 1-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
1
Activation Function
relu
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Link
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Negative Logits
¥
-0.74
ı
-0.67
İ
-0.67
ĺħ
-0.67
figure
-0.65
±
-0.65
Ķ
-0.64
esthetic
-0.64
ķ
-0.62
rooms
-0.61
POSITIVE LOGITS
untled
1.06
err
0.90
idge
0.90
anger
0.89
andom
0.87
rr
0.86
ionage
0.85
awei
0.85
antly
0.84
iott
0.83
Act
ivations
Density 0.009%
Test
Steer
Stacked
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