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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
15175
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MODEL
0-res-jb
Source/SAE
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Explanations
terms related to a condition or topic labeled as "SS"
oai_token-act-pair · gpt-3.5-turbo
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repeated mentions of a specific abbreviation or term, likely related to a subject matter or field
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 @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/15175?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
azeera
-0.73
athon
-0.66
fract
-0.66
ophon
-0.63
Foley
-0.63
Lima
-0.63
âĶ
-0.62
clam
-0.61
obe
-0.61
lah
-0.61
POSITIVE LOGITS
SS
3.90
SS
2.31
ss
1.45
DS
1.33
SR
1.29
FS
1.25
SB
1.22
NS
1.22
RS
1.21
DH
1.20
Act
ivations
Density 0.022%
Test
Steer
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