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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
20371
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MODEL
8-res-jb
Source/SAE
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Explanations
patterns that start with special characters and involve a sense or perception
oai_token-act-pair · gpt-3.5-turbo
No Scores
special characters or glyphs that may indicate a certain tone or emphasis in the text
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 94
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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Link
https://www.neuronpedia.org/gpt2-small/8-res-jb/20371?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
disse
-0.79
seiz
-0.79
ãĥ¯ãĥ³
-0.76
snail
-0.71
obser
-0.71
Franch
-0.70
scor
-0.68
hemor
-0.65
dehuman
-0.64
icit
-0.63
POSITIVE LOGITS
Ŀ
1.58
¡
1.19
Ĵ
1.01
ľ
0.98
ī
0.98
¤
0.97
Ĩ
0.95
Ķ
0.94
¦
0.94
ĺ
0.92
Act
ivations
Density 0.299%
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