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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
15300
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MODEL
9-res-jb
Source/SAE
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Explanations
potential actions or decisions related to a decision-making process
oai_token-act-pair · gpt-3.5-turbo
No Scores
instances of humor or irony
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 @ 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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/9-res-jb/15300?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/15300?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Sailor
-0.79
SEAL
-0.71
asc
-0.70
Seg
-0.69
Summoner
-0.66
REF
-0.66
icle
-0.65
hunter
-0.65
ICLE
-0.64
TE
-0.63
POSITIVE LOGITS
but
1.02
but
1.01
yet
0.84
yet
0.84
BUT
0.80
though
0.80
BUT
0.77
though
0.77
butt
0.77
But
0.77
Act
ivations
Density 0.106%
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