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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
19033
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MODEL
10-res-jb
Source/SAE
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Explanations
Latin letters C with a cedilla below
oai_token-act-pair · gpt-3.5-turbo
No Scores
instances of questioning or requesting action
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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 @ 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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<iframe src="https://www.neuronpedia.org/gpt2-small/10-res-jb/19033?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/19033?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
``
-1.17
`.
-1.03
``
-1.02
`,
-0.96
Âł
-0.96
`
-0.86
Âł
-0.77
````
-0.76
ÃŃs
-0.73
?".
-0.73
POSITIVE LOGITS
—
2.18
ÂŃ
1.35
âĢķ
1.25
ÂŃ
1.00
pic
0.99
»
0.91
——
0.88
â̦
0.85
(@
0.85
.—
0.85
Act
ivations
Density 0.232%
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