Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1150 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 733716 (C4 (Web Text))

Max Activating Token Index: 777

Text #1

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Max Activating Token Index: 849

Text #2

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Max Act: 0.0106. Min Act: -0.0006

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Max Activating Token Index: 982

Text #3

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 998050 (C4 (Web Text))

Max Activating Token Index: 978

Text #4

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Data Index: 1295339 (C4 (Web Text))

Max Activating Token Index: 622

Text #5

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Data Index: 50200 (C4 (Web Text))

Max Activating Token Index: 81

Text #6

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Data Index: 301641 (C4 (Web Text))

Max Activating Token Index: 413

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 1022

Text #10

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Max Activating Token Index: 965

Text #11

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Max Activating Token Index: 808

Text #12

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Max Activating Token Index: 1010

Text #13

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Data Index: 295238 (C4 (Web Text))

Max Activating Token Index: 987

Text #14

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Max Activating Token Index: 543

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 220

Text #18

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Max Activating Token Index: 385

Text #19

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Data Index: 618097 (C4 (Web Text))

Max Activating Token Index: 266