Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1917 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 1279886 (C4 (Web Text))

Max Activating Token Index: 73

Text #1

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Max Act: 0.0348. Min Act: -0.0002

Data Index: 421116 (C4 (Web Text))

Max Activating Token Index: 677

Text #2

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1139996 (C4 (Web Text))

Max Activating Token Index: 310

Text #3

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 57504 (C4 (Web Text))

Max Activating Token Index: 961

Text #4

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Data Index: 890515 (C4 (Web Text))

Max Activating Token Index: 984

Text #5

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Data Index: 710515 (C4 (Web Text))

Max Activating Token Index: 280

Text #6

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Data Index: 914186 (C4 (Web Text))

Max Activating Token Index: 145

Text #7

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Max Activating Token Index: 801

Text #8

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Max Activating Token Index: 217

Text #9

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Max Activating Token Index: 116

Text #10

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Data Index: 1076705 (C4 (Web Text))

Max Activating Token Index: 111

Text #11

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Max Activating Token Index: 656

Text #12

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Max Activating Token Index: 824

Text #13

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Max Activating Token Index: 888

Text #14

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Data Index: 639506 (C4 (Web Text))

Max Activating Token Index: 178

Text #15

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Max Activating Token Index: 674

Text #16

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Max Activating Token Index: 40

Text #17

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Max Activating Token Index: 39

Text #18

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Max Activating Token Index: 600

Text #19

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Data Index: 712208 (C4 (Web Text))

Max Activating Token Index: 159