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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
10226
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MODEL
11-res-jb
Source/SAE
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Explanations
words related to political figures or events
oai_token-act-pair · gpt-3.5-turbo
No Scores
proper nouns and names, particularly those associated with events and public figures
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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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/10226?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/11-res-jb/10226?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Inquis
-1.02
FE
-1.00
Fei
-0.96
FE
-0.91
Ez
-0.83
isf
-0.83
FD
-0.83
fe
-0.80
Flip
-0.78
Flo
-0.78
POSITIVE LOGITS
rams
0.98
roma
0.85
rom
0.81
haar
0.79
RAM
0.79
SAM
0.78
Bav
0.78
ARA
0.78
ram
0.78
Ram
0.78
Act
ivations
Density 0.606%
Test
Steer
Stacked
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