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

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

Neuron 87 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: 0.0159. Min Act: -0.0002

Data Index: 1402254 (Python Code)

Max Activating Token Index: 260

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Text #1

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1172560 (C4 (Web Text))

Max Activating Token Index: 482

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Text #2

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Max Act: 0.0131. Min Act: -0.0001

Data Index: 1423527 (Python Code)

Max Activating Token Index: 559

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Text #3

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 644480 (C4 (Web Text))

Max Activating Token Index: 390

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Text #4

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Data Index: 1538767 (Python Code)

Max Activating Token Index: 409

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Text #5

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 390742 (C4 (Web Text))

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Text #6

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Data Index: 260229 (C4 (Web Text))

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Text #7

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Data Index: 1064560 (C4 (Web Text))

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Text #8

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Data Index: 562786 (C4 (Web Text))

Max Activating Token Index: 490

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Text #9

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Data Index: 1190018 (C4 (Web Text))

Max Activating Token Index: 477

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Text #10

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Data Index: 516629 (C4 (Web Text))

Max Activating Token Index: 820

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Text #11

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Data Index: 414585 (C4 (Web Text))

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Text #12

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Data Index: 959754 (C4 (Web Text))

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Text #13

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Data Index: 330536 (C4 (Web Text))

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Text #14

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Data Index: 1328360 (C4 (Web Text))

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Text #15

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Data Index: 934460 (C4 (Web Text))

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Text #16

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Data Index: 59061 (C4 (Web Text))

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Text #17

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Data Index: 548415 (C4 (Web Text))

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Text #18

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Data Index: 894598 (C4 (Web Text))

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Text #19

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Data Index: 308438 (C4 (Web Text))

Max Activating Token Index: 749

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