Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1183 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0381. Min Act: -0.0001

Data Index: 250408 (C4 (Web Text))

Max Activating Token Index: 990

Text #1

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Max Act: 0.0338. Min Act: -0.0000

Data Index: 1446807 (Python Code)

Max Activating Token Index: 569

Text #2

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Max Act: 0.0331. Min Act: -0.0001

Data Index: 1619547 (Python Code)

Max Activating Token Index: 444

Text #3

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Max Act: 0.0271. Min Act: -0.0000

Data Index: 1161102 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Max Act: 0.0291. Min Act: -0.0000

Data Index: 1626501 (Python Code)

Max Activating Token Index: 293

Text #5

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Data Index: 954250 (C4 (Web Text))

Max Activating Token Index: 351

Text #6

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Data Index: 451167 (C4 (Web Text))

Max Activating Token Index: 574

Text #7

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Max Activating Token Index: 711

Text #8

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Max Activating Token Index: 865

Text #9

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Text #10

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Max Activating Token Index: 244

Text #11

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Max Activating Token Index: 175

Text #12

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Data Index: 941908 (C4 (Web Text))

Max Activating Token Index: 458

Text #13

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Data Index: 737096 (C4 (Web Text))

Max Activating Token Index: 699

Text #14

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Data Index: 1030054 (C4 (Web Text))

Max Activating Token Index: 548

Text #15

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Data Index: 1656817 (Python Code)

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Text #16

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Text #17

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Max Activating Token Index: 360

Text #18

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Data Index: 397855 (C4 (Web Text))

Max Activating Token Index: 805

Text #19

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Max Act: 0.0258. Min Act: -0.0001

Data Index: 832369 (C4 (Web Text))

Max Activating Token Index: 690