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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
16704
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MODEL
11-res-jb
Source/SAE
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Explanations
actors' names
oai_token-act-pair · gpt-3.5-turbo
No Scores
mentions of specific names or individuals, particularly notable figures or companies
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/16704?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/11-res-jb/16704?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
chees
-0.89
wcsstore
-0.87
rez
-0.77
gel
-0.74
ãĤª
-0.74
abad
-0.74
agan
-0.73
azel
-0.73
mu
-0.72
haz
-0.72
POSITIVE LOGITS
Th
2.51
Th
2.30
TH
1.94
th
1.74
TH
1.61
Thur
1.45
th
1.39
Thorn
1.39
Thr
1.33
THR
1.23
Act
ivations
Density 0.216%
Test
Steer
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