Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2465 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.3289. Min Act: -0.0002

Data Index: 1203939 (C4 (Web Text))

Max Activating Token Index: 200

Text #1

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Max Act: 0.2977. Min Act: -0.0002

Data Index: 934083 (C4 (Web Text))

Max Activating Token Index: 672

Text #2

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Max Act: 0.2769. Min Act: -0.0002

Data Index: 160087 (C4 (Web Text))

Max Activating Token Index: 62

Text #3

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Max Act: 0.2774. Min Act: -0.0002

Data Index: 152619 (C4 (Web Text))

Max Activating Token Index: 22

Text #4

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Max Act: 0.2516. Min Act: -0.0002

Data Index: 10810 (C4 (Web Text))

Max Activating Token Index: 36

Text #5

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Max Activating Token Index: 920

Text #6

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Data Index: 33705 (C4 (Web Text))

Max Activating Token Index: 210

Text #7

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Data Index: 496508 (C4 (Web Text))

Max Activating Token Index: 384

Text #8

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Data Index: 236449 (C4 (Web Text))

Max Activating Token Index: 727

Text #9

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Data Index: 274145 (C4 (Web Text))

Max Activating Token Index: 590

Text #10

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Max Activating Token Index: 661

Text #11

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Data Index: 734690 (C4 (Web Text))

Max Activating Token Index: 57

Text #12

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Max Activating Token Index: 871

Text #13

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Data Index: 1005833 (C4 (Web Text))

Max Activating Token Index: 347

Text #14

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Data Index: 1033785 (C4 (Web Text))

Max Activating Token Index: 355

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 610

Text #18

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Data Index: 85342 (C4 (Web Text))

Max Activating Token Index: 44

Text #19

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Data Index: 294958 (C4 (Web Text))

Max Activating Token Index: 571