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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
8575
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MODEL
9-res-jb
Source/SAE
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Explanations
phone number formats
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical codes or identifiers, particularly those formatted with colons
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/9-res-jb/8575?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/9-res-jb/8575?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
uer
-0.80
Lieutenant
-0.74
Reneg
-0.74
Gentleman
-0.73
Demon
-0.70
%%
-0.69
¥ŀ
-0.67
Rated
-0.65
Viktor
-0.64
Rhod
-0.63
POSITIVE LOGITS
7
1.13
7
1.09
8
1.06
8
1.01
9
0.95
6
0.92
6
0.90
9
0.88
718
0.79
709
0.75
Act
ivations
Density 0.364%
Test
Steer
Stacked
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No Known Activations