Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 265 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0440. Min Act: -0.0002

Data Index: 217263 (C4 (Web Text))

Max Activating Token Index: 140

Text #1

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Max Act: 0.0472. Min Act: -0.0002

Data Index: 141002 (C4 (Web Text))

Max Activating Token Index: 390

Text #2

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Max Act: 0.0468. Min Act: -0.0001

Data Index: 493734 (C4 (Web Text))

Max Activating Token Index: 208

Text #3

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Max Act: 0.0359. Min Act: -0.0002

Data Index: 418123 (C4 (Web Text))

Max Activating Token Index: 906

Text #4

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Max Act: 0.0458. Min Act: -0.0002

Data Index: 261646 (C4 (Web Text))

Max Activating Token Index: 912

Text #5

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Max Activating Token Index: 915

Text #6

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Max Activating Token Index: 808

Text #7

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Max Activating Token Index: 444

Text #8

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Data Index: 164716 (C4 (Web Text))

Max Activating Token Index: 818

Text #9

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Data Index: 1192524 (C4 (Web Text))

Max Activating Token Index: 633

Text #10

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Data Index: 145459 (C4 (Web Text))

Max Activating Token Index: 576

Text #11

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Data Index: 265388 (C4 (Web Text))

Max Activating Token Index: 966

Text #12

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Data Index: 332008 (C4 (Web Text))

Max Activating Token Index: 249

Text #13

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Data Index: 534367 (C4 (Web Text))

Max Activating Token Index: 520

Text #14

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Data Index: 141108 (C4 (Web Text))

Max Activating Token Index: 57

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 604

Text #18

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Data Index: 24854 (C4 (Web Text))

Max Activating Token Index: 756

Text #19

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Data Index: 112990 (C4 (Web Text))

Max Activating Token Index: 868