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

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

Neuron 2004 in Layer 2

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

Text #0

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Data Index: 1266616 (C4 (Web Text))

Max Activating Token Index: 448

Text #1

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Max Act: 0.1331. Min Act: -0.0002

Data Index: 543321 (C4 (Web Text))

Max Activating Token Index: 459

Text #2

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Max Act: 0.1321. Min Act: -0.0002

Data Index: 1070329 (C4 (Web Text))

Max Activating Token Index: 743

Text #3

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Max Act: 0.1364. Min Act: -0.0002

Data Index: 568109 (C4 (Web Text))

Max Activating Token Index: 299

Text #4

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Max Activating Token Index: 49

Text #5

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Max Activating Token Index: 247

Text #6

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Text #7

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Max Activating Token Index: 633

Text #8

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Max Activating Token Index: 683

Text #9

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Max Activating Token Index: 213

Text #10

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Max Activating Token Index: 551

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Max Activating Token Index: 311

Text #12

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Max Activating Token Index: 354

Text #13

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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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Data Index: 341573 (C4 (Web Text))

Max Activating Token Index: 647

Text #19

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Data Index: 733212 (C4 (Web Text))

Max Activating Token Index: 12