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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
6628
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MODEL
11-res-jb
Source/SAE
INDEX
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Explanations
statistics or numerical information associated with performance or achievements, such as scores and records
oai_token-act-pair · gpt-3.5-turbo
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statistics related to sports records or performance metrics
oai_token-act-pair · gpt-4o-mini
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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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https://www.neuronpedia.org/gpt2-small/11-res-jb/6628?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
dom
-0.70
stare
-0.70
eleph
-0.69
pree
-0.68
unden
-0.67
decor
-0.67
residence
-0.66
crowd
-0.66
kale
-0.66
infl
-0.66
POSITIVE LOGITS
0
1.58
4
1.46
3
1.43
5
1.42
6
1.42
9
1.42
7
1.40
2
1.38
8
1.38
1
1.38
Act
ivations
Density 0.055%
Test
Steer
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