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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
3131
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MODEL
11-res-jb
Source/SAE
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Explanations
phrases related to various current events and news topics
oai_token-act-pair · gpt-3.5-turbo
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phrases related to political events and their implications
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/3131?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/3131?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
.]
-0.75
.).
-0.74
'.
-0.71
'."
-0.70
'.
-0.68
.'"
-0.66
".
-0.65
].
-0.64
!".
-0.64
!.
-0.64
POSITIVE LOGITS
âĢ
1.79
âĢ
1.46
âĢł
1.34
ãĢ
1.29
â
1.13
âľ
1.08
âĹ
1.07
*,
1.06
âĶ
1.05
âĶ
1.05
Act
ivations
Density 1.272%
Test
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