Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2960 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 488318 (C4 (Web Text))

Max Activating Token Index: 162

Text #1

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Max Activating Token Index: 189

Text #2

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Data Index: 904289 (C4 (Web Text))

Max Activating Token Index: 105

Text #3

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Max Act: 0.0336. Min Act: -0.0002

Data Index: 226768 (C4 (Web Text))

Max Activating Token Index: 394

Text #4

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Data Index: 583891 (C4 (Web Text))

Max Activating Token Index: 231

Text #5

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Data Index: 510141 (C4 (Web Text))

Max Activating Token Index: 615

Text #6

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Max Activating Token Index: 451

Text #7

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Text #8

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Max Activating Token Index: 861

Text #9

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Max Activating Token Index: 274

Text #10

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Max Activating Token Index: 269

Text #11

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Max Activating Token Index: 210

Text #12

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Data Index: 516279 (C4 (Web Text))

Max Activating Token Index: 536

Text #13

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Max Activating Token Index: 338

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 331

Text #18

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Max Activating Token Index: 410

Text #19

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Data Index: 805725 (C4 (Web Text))

Max Activating Token Index: 757