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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
9-RES-JB
22121
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MODEL
9-res-jb
Source/SAE
INDEX
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Explanations
phrases related to specific requirements or options, such as "required," "requirement," "within," "gallery," "placement," or "cognitive disability."
oai_token-act-pair · gpt-3.5-turbo
No Scores
conjunctive or conditional phrases
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 @ 9-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
9
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/9-res-jb/22121?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/9-res-jb/22121?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
tackle
-0.67
vu
-0.59
behavi
-0.56
trave
-0.55
awaru
-0.55
eva
-0.54
hari
-0.54
¶
-0.53
neighb
-0.52
reb
-0.52
POSITIVE LOGITS
"
1.63
"'
1.55
"-
1.48
"<
1.41
"\
1.39
"_
1.39
"/
1.35
"[
1.35
"+
1.35
"(
1.33
Act
ivations
Density 0.178%
Test
Steer
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No Known Activations