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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
14780
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1-res-jb
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Explanations
text fragments that include non-English characters and symbols like "Ð" and "Ñ", possibly related to a specific language or encoding
oai_token-act-pair · gpt-3.5-turbo
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non-English characters or potentially corrupted text
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 @ 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
<iframe src="https://www.neuronpedia.org/gpt2-small/1-res-jb/14780?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/14780?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
aday
-0.76
ORED
-0.73
iday
-0.67
Bun
-0.66
nels
-0.65
abee
-0.65
ITNESS
-0.64
igan
-0.63
Starr
-0.62
Walker
-0.62
POSITIVE LOGITS
Ð
1.55
Ð
1.25
¾
1.15
ij
1.15
ľ
1.12
ļ
1.12
Ķ
1.08
ķ
1.08
н
1.07
ŀ
1.04
Act
ivations
Density 0.005%
Test
Steer
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