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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1303 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0534. Min Act: -0.0002

Data Index: 1092611 (C4 (Web Text))

Max Activating Token Index: 302

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Text #1

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 562191 (C4 (Web Text))

Max Activating Token Index: 133

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Text #2

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Max Act: 0.0462. Min Act: -0.0002

Data Index: 334875 (C4 (Web Text))

Max Activating Token Index: 401

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Text #3

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 178670 (C4 (Web Text))

Max Activating Token Index: 269

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Truncated

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Text #4

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 940964 (C4 (Web Text))

Max Activating Token Index: 320

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Truncated

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Text #5

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Max Act: 0.0452. Min Act: -0.0002

Data Index: 365958 (C4 (Web Text))

Max Activating Token Index: 88

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Text #6

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Data Index: 1118380 (C4 (Web Text))

Max Activating Token Index: 110

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Text #7

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Data Index: 1088253 (C4 (Web Text))

Max Activating Token Index: 552

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Truncated

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Text #8

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Data Index: 800892 (C4 (Web Text))

Max Activating Token Index: 262

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Text #9

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Data Index: 211746 (C4 (Web Text))

Max Activating Token Index: 586

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Text #10

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Data Index: 1335523 (C4 (Web Text))

Max Activating Token Index: 680

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Truncated

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Text #11

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Data Index: 595012 (C4 (Web Text))

Max Activating Token Index: 850

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Truncated

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Text #12

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Data Index: 1459505 (Python Code)

Max Activating Token Index: 897

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Text #13

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Data Index: 1038565 (C4 (Web Text))

Max Activating Token Index: 583

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Truncated

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Text #14

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Data Index: 984940 (C4 (Web Text))

Max Activating Token Index: 884

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Text #15

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Data Index: 847282 (C4 (Web Text))

Max Activating Token Index: 89

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Text #16

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Data Index: 1497203 (Python Code)

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Truncated

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Text #17

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 556809 (C4 (Web Text))

Max Activating Token Index: 461

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Text #18

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Max Act: 0.0358. Min Act: -0.0002

Data Index: 1267651 (C4 (Web Text))

Max Activating Token Index: 783

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Text #19

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Data Index: 1569571 (Python Code)

Max Activating Token Index: 240

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