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

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

Neuron 1561 in Layer 1

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

Text #0

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Max Act: 0.0881. Min Act: -0.0004

Data Index: 674145 (C4 (Web Text))

Max Activating Token Index: 36

Text #1

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Max Act: 0.0799. Min Act: -0.0003

Data Index: 216588 (C4 (Web Text))

Max Activating Token Index: 656

Text #2

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Max Act: 0.0788. Min Act: -0.0003

Data Index: 329912 (C4 (Web Text))

Max Activating Token Index: 164

Text #3

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Max Act: 0.0759. Min Act: -0.0004

Data Index: 781057 (C4 (Web Text))

Max Activating Token Index: 20

Text #4

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Max Act: 0.0771. Min Act: -0.0003

Data Index: 40115 (C4 (Web Text))

Max Activating Token Index: 880

Text #5

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Max Activating Token Index: 73

Text #6

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Max Activating Token Index: 387

Text #7

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Max Activating Token Index: 39

Text #8

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Max Activating Token Index: 989

Text #9

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Max Activating Token Index: 947

Text #10

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Data Index: 819039 (C4 (Web Text))

Max Activating Token Index: 140

Text #11

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Data Index: 876140 (C4 (Web Text))

Max Activating Token Index: 847

Text #12

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Data Index: 5259 (C4 (Web Text))

Max Activating Token Index: 389

Text #13

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Max Activating Token Index: 69

Text #14

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Data Index: 494693 (C4 (Web Text))

Max Activating Token Index: 24

Text #15

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Text #16

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Max Activating Token Index: 62

Text #17

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Max Activating Token Index: 28

Text #18

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Max Activating Token Index: 599

Text #19

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Data Index: 992077 (C4 (Web Text))

Max Activating Token Index: 78