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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
17824
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0-res-jb
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Explanations
numbers in a specific format (##)
oai_token-act-pair · gpt-3.5-turbo
No Scores
instances of the number 34 in various 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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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
<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/17824?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/17824?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
•
Embedding Space Digit Features
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Negative Logits
etts
-0.78
ney
-0.71
Quan
-0.66
rington
-0.61
vern
-0.60
Savior
-0.60
Burns
-0.60
Wilson
-0.59
ewater
-0.59
ep
-0.59
POSITIVE LOGITS
34
2.27
34
2.16
334
1.46
344
1.44
134
1.41
33
1.41
334
1.40
134
1.40
54
1.35
344
1.31
Act
ivations
Density 0.042%
Test
Steer
Stacked
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No Known Activations