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

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

Neuron 3421 in Layer 1

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

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Text #0

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Max Act: 0.4950. Min Act: -0.0002

Data Index: 997382 (C4 (Web Text))

Max Activating Token Index: 3

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Text #1

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Data Index: 516319 (C4 (Web Text))

Max Activating Token Index: 3

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Truncated

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Text #2

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Max Act: 0.4797. Min Act: -0.0002

Data Index: 228250 (C4 (Web Text))

Max Activating Token Index: 2

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Text #3

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Max Act: 0.4675. Min Act: -0.0002

Data Index: 515011 (C4 (Web Text))

Max Activating Token Index: 455

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Truncated

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Text #4

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Max Act: 0.4760. Min Act: -0.0002

Data Index: 698000 (C4 (Web Text))

Max Activating Token Index: 49

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Text #5

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Max Act: 0.4571. Min Act: -0.0002

Data Index: 77655 (C4 (Web Text))

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Text #6

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Data Index: 1303236 (C4 (Web Text))

Max Activating Token Index: 3

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Truncated

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Text #7

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Data Index: 1138689 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #8

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Max Act: 0.4655. Min Act: -0.0002

Data Index: 988644 (C4 (Web Text))

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Text #9

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Max Act: 0.4604. Min Act: -0.0002

Data Index: 246471 (C4 (Web Text))

Max Activating Token Index: 274

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Text #10

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Data Index: 837252 (C4 (Web Text))

Max Activating Token Index: 213

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Text #11

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Data Index: 1476655 (Python Code)

Max Activating Token Index: 491

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Text #12

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Data Index: 394505 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #13

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Data Index: 1278339 (C4 (Web Text))

Max Activating Token Index: 151

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Text #14

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Data Index: 325340 (C4 (Web Text))

Max Activating Token Index: 743

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Text #15

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Data Index: 189782 (C4 (Web Text))

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Text #16

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Data Index: 1377669 (Python Code)

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Text #17

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Data Index: 1090472 (C4 (Web Text))

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Text #18

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Max Act: 0.4386. Min Act: -0.0002

Data Index: 601942 (C4 (Web Text))

Max Activating Token Index: 917

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Text #19

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Data Index: 231545 (C4 (Web Text))

Max Activating Token Index: 2

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