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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
13971
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MODEL
0-res-jb
Source/SAE
INDEX
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Explanations
dates and times in the format of "m. ET"
oai_token-act-pair · gpt-3.5-turbo
No Scores
occurrences of the abbreviation "ET" and its context in reporting time
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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https://www.neuronpedia.org/gpt2-small/0-res-jb/13971?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Ry
-0.71
Rated
-0.66
Ry
-0.64
anus
-0.63
shr
-0.63
Prosecut
-0.62
bay
-0.61
Rh
-0.61
ophon
-0.61
iny
-0.60
POSITIVE LOGITS
ET
4.09
PT
1.64
EST
1.62
ET
1.50
EDT
1.45
CET
1.34
CST
1.32
EW
1.29
IST
1.29
CT
1.25
Act
ivations
Density 0.020%
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