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

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

Neuron 1068 in Layer 0

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

Text #0

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 761956 (C4 (Web Text))

Max Activating Token Index: 965

Text #1

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Max Activating Token Index: 1009

Text #2

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Max Activating Token Index: 294

Text #3

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 810287 (C4 (Web Text))

Max Activating Token Index: 434

Text #4

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Data Index: 352769 (C4 (Web Text))

Max Activating Token Index: 382

Text #5

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Max Activating Token Index: 657

Text #6

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Max Activating Token Index: 162

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 59

Text #10

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Max Activating Token Index: 683

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Text #12

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Text #13

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Max Activating Token Index: 861

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: 455

Text #19

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Data Index: 1130696 (C4 (Web Text))

Max Activating Token Index: 176