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

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

Neuron 144 in Layer 0

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

Text #0

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Max Act: 0.0148. Min Act: -0.0004

Data Index: 1244290 (C4 (Web Text))

Max Activating Token Index: 452

Text #1

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 704654 (C4 (Web Text))

Max Activating Token Index: 45

Text #2

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Max Act: 0.0138. Min Act: -0.0004

Data Index: 508311 (C4 (Web Text))

Max Activating Token Index: 377

Text #3

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Max Act: 0.0138. Min Act: -0.0004

Data Index: 241821 (C4 (Web Text))

Max Activating Token Index: 560

Text #4

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Max Act: 0.0135. Min Act: -0.0004

Data Index: 958797 (C4 (Web Text))

Max Activating Token Index: 100

Text #5

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Data Index: 1240166 (C4 (Web Text))

Max Activating Token Index: 684

Text #6

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Max Activating Token Index: 645

Text #7

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Max Activating Token Index: 803

Text #8

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Max Activating Token Index: 479

Text #9

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Data Index: 521568 (C4 (Web Text))

Max Activating Token Index: 824

Text #10

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Max Activating Token Index: 757

Text #11

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Max Activating Token Index: 770

Text #12

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Max Activating Token Index: 288

Text #13

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Max Activating Token Index: 139

Text #14

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Data Index: 511508 (C4 (Web Text))

Max Activating Token Index: 895

Text #15

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Max Activating Token Index: 27

Text #16

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Text #17

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Max Activating Token Index: 626

Text #18

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Max Activating Token Index: 625

Text #19

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Data Index: 840203 (C4 (Web Text))

Max Activating Token Index: 287