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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
22349
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MODEL
10-res-jb
Source/SAE
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Explanations
important or impactful events or terms, potentially related to news, politics, or legal matters
oai_token-act-pair · gpt-3.5-turbo
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phrases related to temporal indicators or actions awaiting a response
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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/22349?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/22349?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Mai
-0.99
MA
-0.87
Mn
-0.84
Melee
-0.79
Axe
-0.79
Mau
-0.78
Laos
-0.78
MA
-0.77
ma
-0.76
HAL
-0.76
POSITIVE LOGITS
ust
1.02
ert
0.94
pert
0.91
ber
0.87
BER
0.87
ot
0.87
Bert
0.85
ots
0.83
bers
0.83
ocker
0.83
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ivations
Density 0.352%
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