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

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

Neuron 2414 in Layer 0

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

Text #0

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 528581 (C4 (Web Text))

Max Activating Token Index: 63

Text #1

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Max Act: 0.0325. Min Act: -0.0002

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Max Activating Token Index: 100

Text #2

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 532159 (C4 (Web Text))

Max Activating Token Index: 852

Text #3

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 1023997 (C4 (Web Text))

Max Activating Token Index: 102

Text #4

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Max Act: 0.0300. Min Act: -0.0002

Data Index: 727355 (C4 (Web Text))

Max Activating Token Index: 656

Text #5

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Max Act: 0.0299. Min Act: -0.0002

Data Index: 268994 (C4 (Web Text))

Max Activating Token Index: 858

Text #6

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Data Index: 1193769 (C4 (Web Text))

Max Activating Token Index: 587

Text #7

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Max Activating Token Index: 632

Text #8

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Max Activating Token Index: 330

Text #9

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Data Index: 397346 (C4 (Web Text))

Max Activating Token Index: 134

Text #10

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Max Activating Token Index: 504

Text #11

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Data Index: 186705 (C4 (Web Text))

Max Activating Token Index: 374

Text #12

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Max Activating Token Index: 240

Text #13

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Data Index: 110361 (C4 (Web Text))

Max Activating Token Index: 139

Text #14

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Max Activating Token Index: 770

Text #15

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Text #16

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Max Activating Token Index: 801

Text #17

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Max Activating Token Index: 944

Text #18

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Data Index: 770331 (C4 (Web Text))

Max Activating Token Index: 550

Text #19

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Data Index: 135946 (C4 (Web Text))

Max Activating Token Index: 40