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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
22495
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MODEL
10-res-jb
Source/SAE
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Explanations
dates written in a specific format
oai_token-act-pair · gpt-3.5-turbo
No Scores
references to events and entities, particularly names and dates
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 @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/22495?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/10-res-jb/22495?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Ples
-0.84
Streets
-0.84
Turtles
-0.84
Tos
-0.82
Spo
-0.79
Spot
-0.77
pim
-0.77
Pom
-0.75
Ts
-0.74
Kis
-0.73
POSITIVE LOGITS
221
1.13
221
1.02
arn
1.00
220
0.99
211
0.98
21
0.98
223
0.97
jab
0.95
220
0.93
HER
0.92
Act
ivations
Density 0.550%
Test
Steer
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