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

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

Neuron 1063 in Layer 3

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

Text #0

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Max Act: 0.0499. Min Act: -0.0001

Data Index: 1651265 (Python Code)

Max Activating Token Index: 303

Text #1

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Max Act: 0.0491. Min Act: -0.0001

Data Index: 1634829 (Python Code)

Max Activating Token Index: 481

Text #2

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Data Index: 1504389 (Python Code)

Max Activating Token Index: 427

Text #3

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Max Act: 0.0429. Min Act: -0.0001

Data Index: 1389928 (Python Code)

Max Activating Token Index: 463

Text #4

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Max Act: 0.0466. Min Act: -0.0001

Data Index: 236778 (C4 (Web Text))

Max Activating Token Index: 285

Text #5

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Max Act: 0.0367. Min Act: -0.0001

Data Index: 1049120 (C4 (Web Text))

Max Activating Token Index: 862

Text #6

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Max Activating Token Index: 6

Text #7

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Max Activating Token Index: 113

Text #8

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Text #9

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Data Index: 1555318 (Python Code)

Max Activating Token Index: 760

Text #10

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Max Activating Token Index: 690

Text #11

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Max Activating Token Index: 187

Text #12

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Max Activating Token Index: 329

Text #13

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Data Index: 1264795 (C4 (Web Text))

Max Activating Token Index: 183

Text #14

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Data Index: 1541278 (Python Code)

Max Activating Token Index: 447

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 690

Text #19

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Max Act: 0.0333. Min Act: -0.0001

Data Index: 406771 (C4 (Web Text))

Max Activating Token Index: 328