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

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

Neuron 1155 in Layer 1

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

Text #0

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Max Act: 0.0640. Min Act: -0.0003

Data Index: 33209 (C4 (Web Text))

Max Activating Token Index: 571

Text #1

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Max Act: 0.0597. Min Act: -0.0003

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Max Activating Token Index: 105

Text #2

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Max Act: 0.0555. Min Act: -0.0003

Data Index: 305052 (C4 (Web Text))

Max Activating Token Index: 254

Text #3

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Max Act: 0.0551. Min Act: -0.0003

Data Index: 859998 (C4 (Web Text))

Max Activating Token Index: 520

Text #4

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Data Index: 344359 (C4 (Web Text))

Max Activating Token Index: 759

Text #5

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Max Activating Token Index: 81

Text #6

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Max Activating Token Index: 202

Text #7

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Text #8

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Max Activating Token Index: 193

Text #9

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Max Activating Token Index: 629

Text #10

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Max Activating Token Index: 821

Text #11

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Max Activating Token Index: 46

Text #12

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Max Activating Token Index: 717

Text #13

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Max Activating Token Index: 609

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1328263 (C4 (Web Text))

Max Activating Token Index: 421