Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 730 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1320582 (C4 (Web Text))

Max Activating Token Index: 91

Text #1

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Max Activating Token Index: 951

Text #2

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Max Activating Token Index: 105

Text #3

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Max Act: 0.0631. Min Act: -0.0002

Data Index: 1079471 (C4 (Web Text))

Max Activating Token Index: 195

Text #4

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Max Activating Token Index: 1007

Text #5

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Max Activating Token Index: 582

Text #6

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Max Activating Token Index: 800

Text #7

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Max Activating Token Index: 305

Text #8

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Max Activating Token Index: 605

Text #9

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Max Activating Token Index: 204

Text #10

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Max Activating Token Index: 180

Text #11

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Max Activating Token Index: 370

Text #12

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Max Activating Token Index: 914

Text #13

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Max Activating Token Index: 221

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 327

Text #17

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Max Activating Token Index: 403

Text #18

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Max Activating Token Index: 582

Text #19

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Data Index: 1338758 (C4 (Web Text))

Max Activating Token Index: 141