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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
17124
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MODEL
10-res-jb
Source/SAE
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Explanations
terms related to specific locations or entities, such as cities, countries, and organizations
oai_token-act-pair · gpt-3.5-turbo
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references to geographical locations and political entities
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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https://www.neuronpedia.org/gpt2-small/10-res-jb/17124?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ebin
-0.56
`.
-0.56
'.
-0.54
etimes
-0.54
').
-0.51
"]=>
-0.51
onyms
-0.50
nodd
-0.50
ktop
-0.49
ãĤ¢ãĥ«
-0.48
POSITIVE LOGITS
,
1.12
,[
1.00
,,
0.95
®,
0.94
*,
0.93
,
0.93
?,
0.84
(),
0.82
,...
0.81
!,
0.81
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ivations
Density 0.545%
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