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

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

Neuron 3851 in Layer 1

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

Text #0

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Data Index: 64664 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Act: 0.0903. Min Act: -0.0002

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Max Activating Token Index: 464

Text #2

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Max Act: 0.0923. Min Act: -0.0003

Data Index: 695869 (C4 (Web Text))

Max Activating Token Index: 145

Text #3

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Max Act: 0.0920. Min Act: -0.0002

Data Index: 559563 (C4 (Web Text))

Max Activating Token Index: 641

Text #4

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Data Index: 951076 (C4 (Web Text))

Max Activating Token Index: 784

Text #5

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Max Activating Token Index: 34

Text #6

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Max Activating Token Index: 381

Text #7

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Max Activating Token Index: 719

Text #8

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Max Activating Token Index: 310

Text #9

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Max Activating Token Index: 72

Text #10

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Max Activating Token Index: 457

Text #11

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Data Index: 119051 (C4 (Web Text))

Max Activating Token Index: 267

Text #12

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Data Index: 219190 (C4 (Web Text))

Max Activating Token Index: 482

Text #13

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Max Activating Token Index: 642

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 54

Text #19

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Data Index: 1237496 (C4 (Web Text))

Max Activating Token Index: 640