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GPT2-SMALL · 0-RES-JB · 20155 ｜ Neuronpedia
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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
20155
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MODEL
0-res-jb
Source/SAE
INDEX
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Explanations
mentions of the corporation "GM"
oai_token-act-pair · gpt-3.5-turbo
No Scores
mentions of General Motors (GM) and its related contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
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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<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/20155?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/0-res-jb/20155?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
î
-0.72
——
-0.69
Åį
-0.69
leans
-0.69
asha
-0.68
ipel
-0.67
onite
-0.66
redo
-0.66
Ä
-0.66
imen
-0.64
POSITIVE LOGITS
GM
3.96
GM
2.63
DM
1.56
GE
1.46
gm
1.21
General
1.20
Chevy
1.16
GMOs
1.13
GF
1.12
GW
1.12
Act
ivations
Density 0.020%
Test
Steer
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