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

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

Neuron 1042 in Layer 0

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

Text #0

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 985343 (C4 (Web Text))

Max Activating Token Index: 23

Text #1

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Data Index: 348321 (C4 (Web Text))

Max Activating Token Index: 318

Text #2

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Data Index: 1069399 (C4 (Web Text))

Max Activating Token Index: 646

Text #3

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Max Act: 0.0155. Min Act: -0.0004

Data Index: 56897 (C4 (Web Text))

Max Activating Token Index: 293

Text #4

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Max Act: 0.0150. Min Act: -0.0004

Data Index: 1136316 (C4 (Web Text))

Max Activating Token Index: 96

Text #5

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Data Index: 1201665 (C4 (Web Text))

Max Activating Token Index: 9

Text #6

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Max Activating Token Index: 32

Text #7

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Max Activating Token Index: 728

Text #8

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Max Activating Token Index: 892

Text #9

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Max Activating Token Index: 857

Text #10

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Data Index: 981256 (C4 (Web Text))

Max Activating Token Index: 633

Text #11

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Max Activating Token Index: 58

Text #12

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Max Activating Token Index: 947

Text #13

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Max Activating Token Index: 82

Text #14

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Max Activating Token Index: 954

Text #15

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Max Activating Token Index: 176

Text #16

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Text #17

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Max Activating Token Index: 1005

Text #18

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Max Activating Token Index: 230

Text #19

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Data Index: 761598 (C4 (Web Text))

Max Activating Token Index: 78