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

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

Neuron 113 in Layer 1

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

Text #0

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Max Act: 0.0343. Min Act: -0.0003

Data Index: 1367603 (Python Code)

Max Activating Token Index: 754

Text #1

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Max Act: 0.0364. Min Act: -0.0003

Data Index: 1588517 (Python Code)

Max Activating Token Index: 884

Text #2

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 1448730 (Python Code)

Max Activating Token Index: 732

Text #3

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1612600 (Python Code)

Max Activating Token Index: 457

Text #4

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Max Act: 0.0338. Min Act: -0.0003

Data Index: 74331 (C4 (Web Text))

Max Activating Token Index: 524

Text #5

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Max Act: 0.0344. Min Act: -0.0003

Data Index: 115661 (C4 (Web Text))

Max Activating Token Index: 398

Text #6

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Data Index: 1538191 (Python Code)

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Text #7

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Data Index: 502009 (C4 (Web Text))

Max Activating Token Index: 592

Text #8

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Data Index: 157887 (C4 (Web Text))

Max Activating Token Index: 348

Text #9

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Data Index: 1486047 (Python Code)

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Text #10

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Data Index: 1642022 (Python Code)

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Text #11

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Max Activating Token Index: 415

Text #12

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Max Activating Token Index: 584

Text #13

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Data Index: 50127 (C4 (Web Text))

Max Activating Token Index: 602

Text #14

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Data Index: 971413 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 64118 (C4 (Web Text))

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Text #18

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Data Index: 1521438 (Python Code)

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Text #19

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 224190 (C4 (Web Text))

Max Activating Token Index: 401