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

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

Neuron 1563 in Layer 0

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

Text #0

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Data Index: 1066981 (C4 (Web Text))

Max Activating Token Index: 392

Text #1

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Data Index: 471246 (C4 (Web Text))

Max Activating Token Index: 323

Text #2

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Max Act: 0.0161. Min Act: -0.0004

Data Index: 631253 (C4 (Web Text))

Max Activating Token Index: 485

Text #3

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Data Index: 306495 (C4 (Web Text))

Max Activating Token Index: 984

Text #4

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Data Index: 878586 (C4 (Web Text))

Max Activating Token Index: 749

Text #5

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Max Activating Token Index: 751

Text #6

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Max Activating Token Index: 436

Text #7

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Max Activating Token Index: 208

Text #8

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Max Activating Token Index: 284

Text #9

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Max Activating Token Index: 747

Text #10

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Max Activating Token Index: 829

Text #11

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Max Activating Token Index: 533

Text #12

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Max Activating Token Index: 352

Text #13

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Max Activating Token Index: 348

Text #14

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Max Activating Token Index: 533

Text #15

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Max Activating Token Index: 479

Text #16

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Max Activating Token Index: 580

Text #17

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Max Activating Token Index: 221

Text #18

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Data Index: 205150 (C4 (Web Text))

Max Activating Token Index: 949

Text #19

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Data Index: 337185 (C4 (Web Text))

Max Activating Token Index: 456