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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
4064
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10-res-jb
Source/SAE
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Explanations
adjectives to describe negative or controversial situations
oai_token-act-pair · gpt-3.5-turbo
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negative descriptors and terms related to transparency and accountability
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 @ 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/4064?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/4064?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
«
-0.67
.).
-0.67
�
-0.67
.):
-0.66
.),
-0.64
ãĢĮ
-0.63
arnaev
-0.62
.)
-0.60
essage
-0.59
Phys
-0.58
POSITIVE LOGITS
"
2.24
"?
1.92
",
1.86
"!
1.81
"-
1.79
"...
1.76
"—
1.75
":
1.68
".
1.67
"â̦
1.67
Act
ivations
Density 0.622%
Test
Steer
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