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

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

Neuron 1161 in Layer 1

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

Text #0

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1500895 (Python Code)

Max Activating Token Index: 273

Text #1

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 1428688 (Python Code)

Max Activating Token Index: 558

Text #2

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 490040 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 1242646 (C4 (Web Text))

Max Activating Token Index: 244

Text #4

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1407935 (Python Code)

Max Activating Token Index: 86

Text #5

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Max Act: 0.0367. Min Act: -0.0002

Data Index: 754466 (C4 (Web Text))

Max Activating Token Index: 459

Text #6

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Data Index: 1425976 (Python Code)

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Text #7

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Data Index: 1484731 (Python Code)

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Text #8

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Data Index: 569604 (C4 (Web Text))

Max Activating Token Index: 351

Text #9

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Data Index: 569981 (C4 (Web Text))

Max Activating Token Index: 727

Text #10

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Max Activating Token Index: 660

Text #11

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Max Activating Token Index: 274

Text #12

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Max Activating Token Index: 1013

Text #13

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Data Index: 492164 (C4 (Web Text))

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Text #14

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Data Index: 1431373 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1637190 (Python Code)

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Text #18

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Data Index: 1590198 (Python Code)

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Text #19

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 328585 (C4 (Web Text))

Max Activating Token Index: 370