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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
6-RES-JB
11660
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6-res-jb
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Explanations
technical code snippets or programming language text
oai_token-act-pair · gpt-3.5-turbo
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numerical identifiers or codes, likely related to a technical or programming context
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 @ 6-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
6
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/6-res-jb/11660?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/6-res-jb/11660?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
âĸ¬
-0.89
LESS
-0.84
ENG
-0.81
GER
-0.81
reluct
-0.77
behavi
-0.76
TPS
-0.74
iets
-0.74
WAYS
-0.73
lik
-0.72
POSITIVE LOGITS
fe
0.99
fc
0.96
9
0.95
ffe
0.91
cd
0.91
ae
0.90
7
0.89
cf
0.89
fd
0.88
0
0.88
Act
ivations
Density 0.066%
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