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

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

Neuron 1246 in Layer 1

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

Text #0

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 1355499 (C4 (Web Text))

Max Activating Token Index: 333

Text #1

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 896559 (C4 (Web Text))

Max Activating Token Index: 456

Text #2

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 576953 (C4 (Web Text))

Max Activating Token Index: 496

Text #3

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1051986 (C4 (Web Text))

Max Activating Token Index: 771

Text #4

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Max Act: 0.0065. Min Act: -0.0006

Data Index: 505254 (C4 (Web Text))

Max Activating Token Index: 558

Text #5

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Max Act: 0.0067. Min Act: -0.0006

Data Index: 35413 (C4 (Web Text))

Max Activating Token Index: 751

Text #6

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Max Act: 0.0067. Min Act: -0.0006

Data Index: 1217204 (C4 (Web Text))

Max Activating Token Index: 276

Text #7

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Data Index: 675405 (C4 (Web Text))

Max Activating Token Index: 46

Text #8

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Data Index: 1072212 (C4 (Web Text))

Max Activating Token Index: 604

Text #9

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Data Index: 1451378 (Python Code)

Max Activating Token Index: 663

Text #10

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Data Index: 1609587 (Python Code)

Max Activating Token Index: 655

Text #11

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Data Index: 1190849 (C4 (Web Text))

Max Activating Token Index: 482

Text #12

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Data Index: 1561044 (Python Code)

Max Activating Token Index: 989

Text #13

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Data Index: 1633783 (Python Code)

Max Activating Token Index: 536

Text #14

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Data Index: 655127 (C4 (Web Text))

Max Activating Token Index: 720

Text #15

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Data Index: 326323 (C4 (Web Text))

Max Activating Token Index: 441

Text #16

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Text #17

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Data Index: 506411 (C4 (Web Text))

Max Activating Token Index: 86

Text #18

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Data Index: 880093 (C4 (Web Text))

Max Activating Token Index: 88

Text #19

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Max Act: 0.0060. Min Act: -0.0006

Data Index: 1633979 (Python Code)

Max Activating Token Index: 986