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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
3514
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8-res-jb
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Explanations
phrases related to numerical data or measurements
oai_token-act-pair · gpt-3.5-turbo
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relational phrases and contextual indicators within complex statements
oai_token-act-pair · gpt-4o-mini
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Avg Score: 43
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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https://www.neuronpedia.org/gpt2-small/8-res-jb/3514?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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API
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-0.72
èª
-0.71
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-0.70
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ISH
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ETA
-0.65
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three
1.16
three
1.15
four
1.14
two
1.14
five
1.14
six
1.11
two
1.10
TWO
1.09
four
1.08
five
1.07
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ivations
Density 0.292%
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