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

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

Neuron 413 in Layer 2

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

Text #0

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Max Act: 0.0915. Min Act: -0.0002

Data Index: 213123 (C4 (Web Text))

Max Activating Token Index: 220

Text #1

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Data Index: 143190 (C4 (Web Text))

Max Activating Token Index: 502

Text #2

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Max Act: 0.0917. Min Act: -0.0002

Data Index: 537050 (C4 (Web Text))

Max Activating Token Index: 769

Text #3

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Max Act: 0.0850. Min Act: -0.0002

Data Index: 176412 (C4 (Web Text))

Max Activating Token Index: 835

Text #4

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Max Activating Token Index: 273

Text #5

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Max Activating Token Index: 477

Text #6

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Max Activating Token Index: 442

Text #7

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Text #8

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Max Activating Token Index: 520

Text #9

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Text #10

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Max Activating Token Index: 275

Text #11

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Max Activating Token Index: 663

Text #12

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Max Activating Token Index: 694

Text #13

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Data Index: 240591 (C4 (Web Text))

Max Activating Token Index: 535

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: 431

Text #18

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Max Activating Token Index: 503

Text #19

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Data Index: 633898 (C4 (Web Text))

Max Activating Token Index: 373