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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
9609
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MODEL
10-res-jb
Source/SAE
INDEX
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Explanations
specific time schedules in text, typically denoted by 'E' followed by a time
oai_token-act-pair · gpt-3.5-turbo
No Scores
specific group or event identifiers, likely associated with competition or awards
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/9609?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/9609?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Antar
-0.88
cher
-0.86
pudding
-0.84
Bam
-0.80
Tall
-0.80
Gin
-0.78
seiz
-0.77
bart
-0.76
ende
-0.76
gir
-0.75
POSITIVE LOGITS
GC
1.53
RC
1.53
TA
1.52
CS
1.51
CA
1.51
SE
1.50
ND
1.50
IS
1.49
DA
1.49
RS
1.49
Act
ivations
Density 0.109%
Test
Steer
Stacked
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No Known Activations
