Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4566 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0603. Min Act: -0.0002

Data Index: 291887 (C4 (Web Text))

Max Activating Token Index: 171

Text #1

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Max Act: 0.0601. Min Act: -0.0002

Data Index: 331377 (C4 (Web Text))

Max Activating Token Index: 564

Text #2

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Max Act: 0.0559. Min Act: -0.0002

Data Index: 544087 (C4 (Web Text))

Max Activating Token Index: 232

Text #3

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 1222128 (C4 (Web Text))

Max Activating Token Index: 258

Text #4

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Data Index: 141730 (C4 (Web Text))

Max Activating Token Index: 913

Text #5

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Max Activating Token Index: 869

Text #6

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Max Activating Token Index: 454

Text #7

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Max Activating Token Index: 429

Text #8

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Max Activating Token Index: 286

Text #9

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Data Index: 194719 (C4 (Web Text))

Max Activating Token Index: 831

Text #10

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Data Index: 928223 (C4 (Web Text))

Max Activating Token Index: 423

Text #11

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Data Index: 632638 (C4 (Web Text))

Max Activating Token Index: 89

Text #12

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Max Activating Token Index: 345

Text #13

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Data Index: 936666 (C4 (Web Text))

Max Activating Token Index: 322

Text #14

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Data Index: 49988 (C4 (Web Text))

Max Activating Token Index: 389

Text #15

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Max Activating Token Index: 100

Text #16

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Max Activating Token Index: 669

Text #17

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Data Index: 365330 (C4 (Web Text))

Max Activating Token Index: 292

Text #18

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Data Index: 624656 (C4 (Web Text))

Max Activating Token Index: 214

Text #19

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Data Index: 318152 (C4 (Web Text))

Max Activating Token Index: 206