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

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

Neuron 3382 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 417641 (C4 (Web Text))

Max Activating Token Index: 581

Text #1

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Max Activating Token Index: 934

Text #2

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Max Activating Token Index: 266

Text #3

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Data Index: 1094736 (C4 (Web Text))

Max Activating Token Index: 437

Text #4

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Data Index: 497821 (C4 (Web Text))

Max Activating Token Index: 730

Text #5

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Max Activating Token Index: 254

Text #6

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Max Activating Token Index: 844

Text #7

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Max Activating Token Index: 201

Text #8

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Max Activating Token Index: 592

Text #9

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Text #10

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Max Activating Token Index: 667

Text #11

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Data Index: 48923 (C4 (Web Text))

Max Activating Token Index: 515

Text #12

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Max Activating Token Index: 247

Text #13

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Max Activating Token Index: 640

Text #14

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Max Activating Token Index: 772

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 652

Text #18

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Max Activating Token Index: 923

Text #19

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Data Index: 86502 (C4 (Web Text))

Max Activating Token Index: 248