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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
8549
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MODEL
6-res-jb
Source/SAE
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Hebrew characters and words
oai_token-act-pair · gpt-3.5-turbo
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symbols or characters that appear to be non-standard or encoded text
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/8549?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/8549?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ovie
-0.92
essa
-0.74
Rapp
-0.71
eneg
-0.69
aturdays
-0.69
swick
-0.67
Osc
-0.65
itz
-0.63
sighting
-0.63
kef
-0.62
POSITIVE LOGITS
¤
1.33
ĵ
1.30
à¤
1.26
ļ
1.22
¹
1.20
¦
1.20
ķ
1.19
¡
1.17
Ĺ
1.15
¼
1.14
Act
ivations
Density 0.004%
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