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

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

Neuron 1292 in Layer 0

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

Text #0

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 361943 (C4 (Web Text))

Max Activating Token Index: 89

Text #1

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 453313 (C4 (Web Text))

Max Activating Token Index: 709

Text #2

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 770096 (C4 (Web Text))

Max Activating Token Index: 855

Text #3

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 624230 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 549937 (C4 (Web Text))

Max Activating Token Index: 763

Text #5

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 882484 (C4 (Web Text))

Max Activating Token Index: 540

Text #6

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Data Index: 1190233 (C4 (Web Text))

Max Activating Token Index: 745

Text #7

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Max Activating Token Index: 445

Text #8

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Max Activating Token Index: 800

Text #9

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Max Activating Token Index: 17

Text #10

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Data Index: 403860 (C4 (Web Text))

Max Activating Token Index: 582

Text #11

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Max Activating Token Index: 169

Text #12

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Max Activating Token Index: 40

Text #13

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Max Activating Token Index: 313

Text #14

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Text #15

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Max Activating Token Index: 74

Text #16

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Max Activating Token Index: 33

Text #17

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Max Activating Token Index: 732

Text #18

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Data Index: 95133 (C4 (Web Text))

Max Activating Token Index: 742

Text #19

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Data Index: 834909 (C4 (Web Text))

Max Activating Token Index: 839