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

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

Neuron 784 in Layer 0

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

Text #0

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 48451 (C4 (Web Text))

Max Activating Token Index: 139

Text #1

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Max Act: 0.0114. Min Act: -0.0004

Data Index: 430559 (C4 (Web Text))

Max Activating Token Index: 136

Text #2

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Max Act: 0.0109. Min Act: -0.0004

Data Index: 250420 (C4 (Web Text))

Max Activating Token Index: 823

Text #3

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Max Act: 0.0105. Min Act: -0.0004

Data Index: 427018 (C4 (Web Text))

Max Activating Token Index: 496

Text #4

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 952739 (C4 (Web Text))

Max Activating Token Index: 150

Text #5

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Max Act: 0.0105. Min Act: -0.0004

Data Index: 68639 (C4 (Web Text))

Max Activating Token Index: 101

Text #6

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Max Activating Token Index: 663

Text #7

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Max Activating Token Index: 282

Text #8

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Max Activating Token Index: 409

Text #9

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Max Activating Token Index: 683

Text #10

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Max Activating Token Index: 222

Text #11

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Max Activating Token Index: 277

Text #12

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Max Activating Token Index: 626

Text #13

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Max Act: 0.0101. Min Act: -0.0004

Data Index: 251349 (C4 (Web Text))

Max Activating Token Index: 484

Text #14

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Data Index: 73640 (C4 (Web Text))

Max Activating Token Index: 355

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 162

Text #18

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Data Index: 329144 (C4 (Web Text))

Max Activating Token Index: 142

Text #19

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Max Act: 0.0099. Min Act: -0.0004

Data Index: 1279254 (C4 (Web Text))

Max Activating Token Index: 501