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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
6-RES-JB
21474
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MODEL
6-res-jb
Source/SAE
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Explanations
sentences where the speaker expresses their current emotional state
oai_token-act-pair · gpt-3.5-turbo
No Scores
expressions related to danger or risk
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 @ 6-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
6
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/6-res-jb/21474?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/6-res-jb/21474?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
?).
-0.79
.*
-0.69
arist
-0.66
ayn
-0.65
cum
-0.65
+.
-0.63
;)
-0.62
thereof
-0.62
?)
-0.61
.).
-0.61
POSITIVE LOGITS
,"
1.05
[
0.94
%"
0.87
,'"
0.87
.,"
0.85
":
0.78
",
0.77
absolutely
0.77
"
0.76
,''
0.75
Act
ivations
Density 0.490%
Test
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