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

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

Neuron 1036 in Layer 1

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

Text #0

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 777316 (C4 (Web Text))

Max Activating Token Index: 147

Text #1

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Max Act: 0.0175. Min Act: -0.0003

Data Index: 732151 (C4 (Web Text))

Max Activating Token Index: 180

Text #2

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Max Act: 0.0154. Min Act: -0.0003

Data Index: 783378 (C4 (Web Text))

Max Activating Token Index: 222

Text #3

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 951084 (C4 (Web Text))

Max Activating Token Index: 989

Text #4

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 462850 (C4 (Web Text))

Max Activating Token Index: 112

Text #5

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Max Act: 0.0147. Min Act: -0.0003

Data Index: 633660 (C4 (Web Text))

Max Activating Token Index: 604

Text #6

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Max Activating Token Index: 629

Text #7

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Max Activating Token Index: 965

Text #8

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Max Activating Token Index: 87

Text #9

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Data Index: 770909 (C4 (Web Text))

Max Activating Token Index: 222

Text #10

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Data Index: 931611 (C4 (Web Text))

Max Activating Token Index: 296

Text #11

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Max Activating Token Index: 758

Text #12

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Max Activating Token Index: 602

Text #13

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Max Activating Token Index: 66

Text #14

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Max Activating Token Index: 630

Text #15

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Max Activating Token Index: 595

Text #16

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Max Activating Token Index: 843

Text #17

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Max Activating Token Index: 544

Text #18

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Data Index: 351677 (C4 (Web Text))

Max Activating Token Index: 365

Text #19

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Data Index: 972584 (C4 (Web Text))

Max Activating Token Index: 903