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

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

Neuron 1725 in Layer 1

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

Text #0

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Max Act: 0.0541. Min Act: -0.0003

Data Index: 1410789 (Python Code)

Max Activating Token Index: 912

Text #1

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Max Act: 0.0533. Min Act: -0.0003

Data Index: 1278786 (C4 (Web Text))

Max Activating Token Index: 301

Text #2

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Max Act: 0.0519. Min Act: -0.0003

Data Index: 1527632 (Python Code)

Max Activating Token Index: 206

Text #3

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Max Act: 0.0491. Min Act: -0.0002

Data Index: 9720 (C4 (Web Text))

Max Activating Token Index: 191

Text #4

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Max Act: 0.0491. Min Act: -0.0003

Data Index: 823898 (C4 (Web Text))

Max Activating Token Index: 731

Text #5

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Max Act: 0.0482. Min Act: -0.0003

Data Index: 901323 (C4 (Web Text))

Max Activating Token Index: 111

Text #6

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Data Index: 393458 (C4 (Web Text))

Max Activating Token Index: 594

Text #7

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Max Activating Token Index: 453

Text #8

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Max Activating Token Index: 98

Text #9

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Data Index: 1599295 (Python Code)

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Text #10

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Max Activating Token Index: 711

Text #11

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Max Activating Token Index: 345

Text #12

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Data Index: 422771 (C4 (Web Text))

Max Activating Token Index: 805

Text #13

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Data Index: 210363 (C4 (Web Text))

Max Activating Token Index: 614

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 709

Text #18

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Data Index: 790895 (C4 (Web Text))

Max Activating Token Index: 202

Text #19

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Max Act: 0.0443. Min Act: -0.0003

Data Index: 599332 (C4 (Web Text))

Max Activating Token Index: 949