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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
858
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MODEL
0-res-jb
Source/SAE
INDEX
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Explanations
mentions related to the geographical location "Mount St. Helens."
oai_token-act-pair · gpt-3.5-turbo
No Scores
mentions of "Hel" or related references to Mount Saint Helens
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 @ 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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Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/858?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/858?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
pu
-0.75
iy
-0.70
yy
-0.70
SN
-0.68
rake
-0.67
y
-0.67
rm
-0.66
KY
-0.66
imore
-0.65
deletion
-0.63
POSITIVE LOGITS
Hel
3.95
Hel
2.40
HEL
2.04
hel
1.85
hel
1.58
Helm
1.36
Helen
1.34
helium
1.22
Helena
1.15
Sol
1.14
Act
ivations
Density 0.015%
Test
Steer
Stacked
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No Known Activations
