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GPT2-SMALL · 10-RES-JB · 22350 ｜ Neuronpedia
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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
22350
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MODEL
10-res-jb
Source/SAE
INDEX
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Explanations
names of specific places or organizations
oai_token-act-pair · gpt-3.5-turbo
No Scores
names of entities or proper nouns
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 @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/22350?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/22350?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
PDATE
-0.87
PT
-0.74
COM
-0.74
LIN
-0.73
Polk
-0.71
Ply
-0.68
DET
-0.66
tune
-0.66
FORMATION
-0.64
TERN
-0.64
POSITIVE LOGITS
a
1.68
aic
1.15
aq
1.11
aum
1.08
aa
1.00
A
0.99
as
0.98
amate
0.97
aea
0.97
ģ
0.97
Act
ivations
Density 0.103%
Test
Steer
Stacked
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No Known Activations
