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

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

Neuron 756 in Layer 1

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

Text #0

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Max Act: 0.0592. Min Act: -0.0004

Data Index: 895378 (C4 (Web Text))

Max Activating Token Index: 34

Text #1

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Max Act: 0.0546. Min Act: -0.0003

Data Index: 36320 (C4 (Web Text))

Max Activating Token Index: 888

Text #2

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 820284 (C4 (Web Text))

Max Activating Token Index: 410

Text #3

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Max Act: 0.0536. Min Act: -0.0003

Data Index: 1128915 (C4 (Web Text))

Max Activating Token Index: 612

Text #4

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Max Act: 0.0493. Min Act: -0.0003

Data Index: 17189 (C4 (Web Text))

Max Activating Token Index: 529

Text #5

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Max Act: 0.0507. Min Act: -0.0003

Data Index: 603019 (C4 (Web Text))

Max Activating Token Index: 606

Text #6

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Max Activating Token Index: 865

Text #7

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Max Activating Token Index: 88

Text #8

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Max Activating Token Index: 479

Text #9

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Data Index: 200030 (C4 (Web Text))

Max Activating Token Index: 1006

Text #10

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Max Activating Token Index: 47

Text #11

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Max Activating Token Index: 622

Text #12

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Max Activating Token Index: 876

Text #13

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Data Index: 899019 (C4 (Web Text))

Max Activating Token Index: 847

Text #14

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Data Index: 608694 (C4 (Web Text))

Max Activating Token Index: 731

Text #15

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Max Activating Token Index: 77

Text #16

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Text #17

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Max Activating Token Index: 937

Text #18

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Max Activating Token Index: 1013

Text #19

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Data Index: 936877 (C4 (Web Text))

Max Activating Token Index: 868