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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
17610
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MODEL
10-res-jb
Source/SAE
INDEX
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Explanations
names of individuals or locations in various contexts
oai_token-act-pair · gpt-3.5-turbo
No Scores
proper nouns, particularly names and institutions
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/17610?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/17610?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
oka
-1.01
ox
-0.92
LX
-0.87
OX
-0.85
opl
-0.82
omy
-0.82
TAMADRA
-0.81
Norwich
-0.80
WP
-0.79
710
-0.79
POSITIVE LOGITS
de
1.16
des
1.02
Mul
1.02
Del
1.02
Des
0.99
De
0.98
De
0.96
DE
0.95
Dul
0.94
DEM
0.94
Act
ivations
Density 0.413%
Test
Steer
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