Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1421 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0437. Min Act: -0.0003

Data Index: 1388321 (Python Code)

Max Activating Token Index: 576

Text #1

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1517424 (Python Code)

Max Activating Token Index: 426

Text #2

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 970530 (C4 (Web Text))

Max Activating Token Index: 984

Text #3

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 332805 (C4 (Web Text))

Max Activating Token Index: 343

Text #4

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 116803 (C4 (Web Text))

Max Activating Token Index: 611

Text #5

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 695759 (C4 (Web Text))

Max Activating Token Index: 540

Text #6

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 118654 (C4 (Web Text))

Max Activating Token Index: 648

Text #7

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Data Index: 1444056 (Python Code)

Max Activating Token Index: 1020

Text #8

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Data Index: 1455938 (Python Code)

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Text #9

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Data Index: 827613 (C4 (Web Text))

Max Activating Token Index: 499

Text #10

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Max Activating Token Index: 314

Text #11

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Max Activating Token Index: 605

Text #12

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Data Index: 503558 (C4 (Web Text))

Max Activating Token Index: 640

Text #13

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Data Index: 1341358 (C4 (Web Text))

Max Activating Token Index: 696

Text #14

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Data Index: 1480126 (Python Code)

Max Activating Token Index: 434

Text #15

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Data Index: 352673 (C4 (Web Text))

Max Activating Token Index: 399

Text #16

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Data Index: 1500702 (Python Code)

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Text #17

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Data Index: 1445612 (Python Code)

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Text #18

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Data Index: 1365949 (Python Code)

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Text #19

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 733943 (C4 (Web Text))

Max Activating Token Index: 625