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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
3633
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MODEL
8-res-jb
Source/SAE
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Explanations
dates and numerical values in a specific format
oai_token-act-pair · gpt-3.5-turbo
No Scores
symbols, dates, and dollar amounts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 84
New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/8-res-jb/3633?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/8-res-jb/3633?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
SX
-0.76
OTA
-0.76
arium
-0.75
Tak
-0.75
TOUR
-0.74
Ott
-0.73
Ost
-0.71
kt
-0.71
Ware
-0.71
Shroud
-0.71
POSITIVE LOGITS
29
1.05
28
1.00
29
0.99
28
0.92
30
0.90
30
0.88
27
0.88
31
0.88
27
0.88
ina
0.86
Act
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Density 0.283%
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