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

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

Neuron 1016 in Layer 2

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

Text #0

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Max Act: 0.0462. Min Act: -0.0002

Data Index: 1565140 (Python Code)

Max Activating Token Index: 28

Text #1

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Max Act: 0.0459. Min Act: -0.0003

Data Index: 1365252 (Python Code)

Max Activating Token Index: 547

Text #2

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 1578141 (Python Code)

Max Activating Token Index: 600

Text #3

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 1185426 (C4 (Web Text))

Max Activating Token Index: 27

Text #4

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 496060 (C4 (Web Text))

Max Activating Token Index: 478

Text #5

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 157177 (C4 (Web Text))

Max Activating Token Index: 62

Text #6

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Data Index: 190247 (C4 (Web Text))

Max Activating Token Index: 372

Text #7

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Max Activating Token Index: 324

Text #8

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Max Activating Token Index: 231

Text #9

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Data Index: 814017 (C4 (Web Text))

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Text #10

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Text #11

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Max Activating Token Index: 1006

Text #12

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Data Index: 1459291 (Python Code)

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Text #13

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Data Index: 159402 (C4 (Web Text))

Max Activating Token Index: 449

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1582104 (Python Code)

Max Activating Token Index: 16

Text #19

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Data Index: 619880 (C4 (Web Text))

Max Activating Token Index: 101