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

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

Neuron 888 in Layer 0

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

Text #0

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Max Act: 0.0336. Min Act: -0.0004

Data Index: 1336769 (C4 (Web Text))

Max Activating Token Index: 31

Text #1

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Max Act: 0.0335. Min Act: -0.0005

Data Index: 1040572 (C4 (Web Text))

Max Activating Token Index: 167

Text #2

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Data Index: 1056114 (C4 (Web Text))

Max Activating Token Index: 773

Text #3

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Max Act: 0.0316. Min Act: -0.0005

Data Index: 770130 (C4 (Web Text))

Max Activating Token Index: 321

Text #4

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Max Act: 0.0305. Min Act: -0.0004

Data Index: 417392 (C4 (Web Text))

Max Activating Token Index: 675

Text #5

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Data Index: 1271054 (C4 (Web Text))

Max Activating Token Index: 26

Text #6

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Data Index: 698852 (C4 (Web Text))

Max Activating Token Index: 55

Text #7

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Max Activating Token Index: 25

Text #8

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Max Activating Token Index: 943

Text #9

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Max Activating Token Index: 156

Text #10

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Max Activating Token Index: 502

Text #11

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Max Activating Token Index: 193

Text #12

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Max Activating Token Index: 84

Text #13

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Data Index: 718718 (C4 (Web Text))

Max Activating Token Index: 591

Text #14

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Data Index: 688814 (C4 (Web Text))

Max Activating Token Index: 33

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 205

Text #18

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Max Activating Token Index: 132

Text #19

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Data Index: 974966 (C4 (Web Text))

Max Activating Token Index: 90