Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1949 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0559. Min Act: -0.0002

Data Index: 851039 (C4 (Web Text))

Max Activating Token Index: 1007

Text #1

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Data Index: 578251 (C4 (Web Text))

Max Activating Token Index: 54

Text #2

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 533046 (C4 (Web Text))

Max Activating Token Index: 283

Text #3

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Max Act: 0.0538. Min Act: -0.0002

Data Index: 1241339 (C4 (Web Text))

Max Activating Token Index: 886

Text #4

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Data Index: 626331 (C4 (Web Text))

Max Activating Token Index: 206

Text #5

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Data Index: 750010 (C4 (Web Text))

Max Activating Token Index: 987

Text #6

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Max Activating Token Index: 185

Text #7

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Data Index: 1436205 (Python Code)

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Text #8

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Data Index: 859731 (C4 (Web Text))

Max Activating Token Index: 241

Text #9

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Max Activating Token Index: 913

Text #10

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Max Activating Token Index: 9

Text #11

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Max Activating Token Index: 18

Text #12

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Max Activating Token Index: 273

Text #13

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Max Activating Token Index: 604

Text #14

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Data Index: 293663 (C4 (Web Text))

Max Activating Token Index: 215

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 808

Text #18

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Data Index: 442722 (C4 (Web Text))

Max Activating Token Index: 163

Text #19

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Data Index: 1312530 (C4 (Web Text))

Max Activating Token Index: 199