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

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

Neuron 490 in Layer 1

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

Text #0

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Max Act: 0.0606. Min Act: -0.0003

Data Index: 289794 (C4 (Web Text))

Max Activating Token Index: 278

Text #1

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Data Index: 807363 (C4 (Web Text))

Max Activating Token Index: 84

Text #2

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Max Act: 0.0534. Min Act: -0.0003

Data Index: 655349 (C4 (Web Text))

Max Activating Token Index: 122

Text #3

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Max Act: 0.0491. Min Act: -0.0002

Data Index: 586990 (C4 (Web Text))

Max Activating Token Index: 238

Text #4

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Data Index: 198450 (C4 (Web Text))

Max Activating Token Index: 681

Text #5

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Data Index: 982090 (C4 (Web Text))

Max Activating Token Index: 366

Text #6

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Max Activating Token Index: 456

Text #7

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Max Activating Token Index: 697

Text #8

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Max Activating Token Index: 169

Text #9

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Max Activating Token Index: 510

Text #10

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Max Activating Token Index: 127

Text #11

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Max Activating Token Index: 68

Text #12

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Max Activating Token Index: 117

Text #13

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Data Index: 150908 (C4 (Web Text))

Max Activating Token Index: 299

Text #14

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Max Activating Token Index: 326

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 25

Text #18

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Max Activating Token Index: 194

Text #19

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Data Index: 343489 (C4 (Web Text))

Max Activating Token Index: 318