Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3605 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Data Index: 1292161 (C4 (Web Text))

Max Activating Token Index: 685

Text #1

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Max Activating Token Index: 921

Text #2

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Max Activating Token Index: 692

Text #3

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Data Index: 1214396 (C4 (Web Text))

Max Activating Token Index: 245

Text #4

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Data Index: 94839 (C4 (Web Text))

Max Activating Token Index: 505

Text #5

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Max Activating Token Index: 942

Text #6

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Max Activating Token Index: 805

Text #7

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Max Activating Token Index: 394

Text #8

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Text #9

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Max Activating Token Index: 566

Text #10

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Max Activating Token Index: 982

Text #11

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Max Activating Token Index: 515

Text #12

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Max Activating Token Index: 322

Text #13

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Max Activating Token Index: 541

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: 339

Text #19

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Data Index: 492062 (C4 (Web Text))

Max Activating Token Index: 236