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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
10975
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
dates and numerical values
oai_token-act-pair · gpt-3.5-turbo
No Scores
financial data and dates related to events
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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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Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/10975?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/10975?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
ok
-0.79
emb
-0.73
emo
-0.73
oct
-0.71
Osc
-0.71
ET
-0.71
eki
-0.69
809
-0.69
Et
-0.68
Turtles
-0.68
POSITIVE LOGITS
25
1.46
25
1.46
26
1.27
26
1.24
1926
1.04
1925
1.03
27
0.98
27
0.94
2600
0.91
250
0.89
Act
ivations
Density 0.227%
Test
Steer
Stacked
Snippet
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