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

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

Neuron 3151 in Layer 2

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



Text #0

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Max Act: 0.0213. Min Act: -0.0002

Data Index: 254267 (C4 (Web Text))

Max Activating Token Index: 952

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Text #1

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 341818 (C4 (Web Text))

Max Activating Token Index: 827

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Text #2

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 1459752 (Python Code)

Max Activating Token Index: 110

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Text #3

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 335492 (C4 (Web Text))

Max Activating Token Index: 477

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Text #4

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Max Act: 0.0148. Min Act: -0.0002

Data Index: 363491 (C4 (Web Text))

Max Activating Token Index: 322

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Text #5

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Data Index: 1042898 (C4 (Web Text))

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Text #6

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Data Index: 1066595 (C4 (Web Text))

Max Activating Token Index: 594

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Text #7

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Data Index: 547139 (C4 (Web Text))

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Text #8

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Data Index: 506270 (C4 (Web Text))

Max Activating Token Index: 245

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Text #9

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Data Index: 1249407 (C4 (Web Text))

Max Activating Token Index: 353

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Text #10

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Data Index: 972799 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 260420 (C4 (Web Text))

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Text #13

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Data Index: 51110 (C4 (Web Text))

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Text #14

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Data Index: 1045994 (C4 (Web Text))

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Text #15

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Data Index: 837878 (C4 (Web Text))

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Text #16

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Data Index: 136723 (C4 (Web Text))

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Text #17

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Max Act: 0.0143. Min Act: -0.0002

Data Index: 325935 (C4 (Web Text))

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Text #18

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Max Act: 0.0141. Min Act: -0.0002

Data Index: 533135 (C4 (Web Text))

Max Activating Token Index: 958

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Text #19

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Data Index: 19968 (C4 (Web Text))

Max Activating Token Index: 822

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