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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 506 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1373498 (Python Code)

Max Activating Token Index: 246

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Text #1

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Max Act: 0.0310. Min Act: -0.0003

Data Index: 568648 (C4 (Web Text))

Max Activating Token Index: 974

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Text #2

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1522693 (Python Code)

Max Activating Token Index: 298

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Text #3

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 591385 (C4 (Web Text))

Max Activating Token Index: 324

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Text #4

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 416825 (C4 (Web Text))

Max Activating Token Index: 288

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Text #5

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 830936 (C4 (Web Text))

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Text #6

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Data Index: 1233015 (C4 (Web Text))

Max Activating Token Index: 352

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Text #7

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Data Index: 1585721 (Python Code)

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Text #8

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Data Index: 1572575 (Python Code)

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Text #9

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Data Index: 1063140 (C4 (Web Text))

Max Activating Token Index: 211

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Text #10

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Data Index: 819468 (C4 (Web Text))

Max Activating Token Index: 384

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Text #11

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Data Index: 1380103 (Python Code)

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Text #12

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Data Index: 323796 (C4 (Web Text))

Max Activating Token Index: 847

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Text #13

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Data Index: 1084758 (C4 (Web Text))

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Text #14

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Data Index: 741092 (C4 (Web Text))

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Text #15

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Data Index: 971975 (C4 (Web Text))

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Text #16

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Data Index: 719856 (C4 (Web Text))

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Text #17

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Data Index: 1116539 (C4 (Web Text))

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Text #18

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Data Index: 656380 (C4 (Web Text))

Max Activating Token Index: 698

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Text #19

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Data Index: 1484895 (Python Code)

Max Activating Token Index: 776

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