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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 202 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0188. Min Act: -0.0006

Data Index: 1517414 (Python Code)

Max Activating Token Index: 905

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Text #1

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Max Act: 0.0193. Min Act: -0.0006

Data Index: 582473 (C4 (Web Text))

Max Activating Token Index: 207

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Text #2

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 906508 (C4 (Web Text))

Max Activating Token Index: 79

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Text #3

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 722881 (C4 (Web Text))

Max Activating Token Index: 722

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Truncated

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Text #4

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 445167 (C4 (Web Text))

Max Activating Token Index: 234

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Truncated

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Text #5

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Max Act: 0.0166. Min Act: -0.0006

Data Index: 1080012 (C4 (Web Text))

Max Activating Token Index: 925

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Text #6

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Data Index: 784931 (C4 (Web Text))

Max Activating Token Index: 889

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Truncated

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Text #7

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Data Index: 661224 (C4 (Web Text))

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Truncated

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Text #8

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Max Act: 0.0179. Min Act: -0.0006

Data Index: 496384 (C4 (Web Text))

Max Activating Token Index: 220

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Text #9

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Data Index: 303591 (C4 (Web Text))

Max Activating Token Index: 553

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Truncated

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Text #10

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Data Index: 894087 (C4 (Web Text))

Max Activating Token Index: 775

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Text #11

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Data Index: 292740 (C4 (Web Text))

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Text #12

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Data Index: 997882 (C4 (Web Text))

Max Activating Token Index: 783

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Text #13

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Data Index: 1472797 (Python Code)

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Text #14

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Data Index: 675444 (C4 (Web Text))

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Text #15

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Data Index: 468620 (C4 (Web Text))

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Text #16

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Data Index: 414698 (C4 (Web Text))

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Text #17

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Data Index: 77180 (C4 (Web Text))

Max Activating Token Index: 247

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Text #18

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 106402 (C4 (Web Text))

Max Activating Token Index: 18

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Text #19

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 237831 (C4 (Web Text))

Max Activating Token Index: 694

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