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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
15766
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MODEL
11-res-jb
Source/SAE
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Explanations
contact information for different services or individuals
oai_token-act-pair · gpt-3.5-turbo
No Scores
numeric values associated with contact information and service details
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/11-res-jb/15766?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/15766?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
yles
-0.64
Þ
-0.63
Ging
-0.62
stren
-0.60
aditional
-0.59
ñ
-0.59
thous
-0.58
dod
-0.58
ò
-0.58
icult
-0.57
POSITIVE LOGITS
00
1.37
22
1.28
99
1.27
77
1.26
67
1.24
66
1.22
70
1.21
68
1.21
44
1.21
75
1.20
Act
ivations
Density 0.034%
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