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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
6451
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MODEL
8-res-jb
Source/SAE
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Explanations
sentences related to political statements and decisions
oai_token-act-pair · gpt-3.5-turbo
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legislative and policy-related discussions or statements
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 63
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/8-res-jb/6451?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/8-res-jb/6451?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
!'
-0.85
!'"
-0.71
?'
-0.66
.'
-0.64
)'
-0.60
?'"
-0.58
.'"
-0.58
,'
-0.57
').
-0.55
.—
-0.55
POSITIVE LOGITS
"[
0.88
"â̦
0.86
"
0.84
"...
0.82
anecd
0.81
"'
0.81
"#
0.72
"(
0.72
ItemTracker
0.66
''
0.65
Act
ivations
Density 1.601%
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