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

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

Neuron 1108 in Layer 0

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

Text #0

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1098015 (C4 (Web Text))

Max Activating Token Index: 352

Text #1

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Data Index: 955132 (C4 (Web Text))

Max Activating Token Index: 951

Text #2

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Data Index: 684196 (C4 (Web Text))

Max Activating Token Index: 911

Text #3

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Max Act: 0.0131. Min Act: -0.0004

Data Index: 1150879 (C4 (Web Text))

Max Activating Token Index: 533

Text #4

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Data Index: 1143437 (C4 (Web Text))

Max Activating Token Index: 382

Text #5

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Data Index: 1165056 (C4 (Web Text))

Max Activating Token Index: 846

Text #6

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Data Index: 450574 (C4 (Web Text))

Max Activating Token Index: 588

Text #7

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Max Activating Token Index: 745

Text #8

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Max Activating Token Index: 991

Text #9

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Data Index: 564743 (C4 (Web Text))

Max Activating Token Index: 935

Text #10

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Data Index: 876733 (C4 (Web Text))

Max Activating Token Index: 772

Text #11

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Data Index: 922657 (C4 (Web Text))

Max Activating Token Index: 480

Text #12

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Max Activating Token Index: 654

Text #13

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Data Index: 877105 (C4 (Web Text))

Max Activating Token Index: 490

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 741

Text #17

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Max Activating Token Index: 562

Text #18

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Max Activating Token Index: 935

Text #19

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Data Index: 655090 (C4 (Web Text))

Max Activating Token Index: 398