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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
1-RES-JB
12425
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MODEL
1-res-jb
Source/SAE
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Explanations
unintelligible characters
oai_token-act-pair · gpt-3.5-turbo
No Scores
specific non-standard or unusual characters
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 1-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
1
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/1-res-jb/12425?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/1-res-jb/12425?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
prefrontal
-0.76
Uni
-0.74
fetus
-0.71
Aber
-0.68
Rebels
-0.67
*/(
-0.66
onomy
-0.66
AAP
-0.65
Sul
-0.65
Semin
-0.65
POSITIVE LOGITS
ķ
1.12
¾
1.10
Ĭ
1.04
¹
1.04
µ
1.02
çĶŁ
1.00
¼
0.99
¸
0.98
²
0.98
ĩ
0.97
Act
ivations
Density 0.002%
Test
Steer
Stacked
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