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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
21989
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0-res-jb
Source/SAE
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Explanations
phrases related to particular names, possibly "Per" or similar
oai_token-act-pair · gpt-3.5-turbo
No Scores
the occurrences of the word "Per"
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/0-res-jb/21989?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/21989?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
uminati
-0.73
LCS
-0.73
gha
-0.71
GGGGGGGG
-0.68
swick
-0.67
ties
-0.65
roo
-0.65
jing
-0.65
aze
-0.62
hello
-0.62
POSITIVE LOGITS
Per
3.63
Per
2.56
PER
1.87
per
1.78
per
1.53
PER
1.32
Peru
1.24
perm
1.22
Pen
1.19
perm
1.13
Act
ivations
Density 0.004%
Test
Steer
Stacked
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No Known Activations
