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

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

Neuron 3653 in Layer 2

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



Text #0

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Max Act: 0.0375. Min Act: -0.0002

Data Index: 1554703 (Python Code)

Max Activating Token Index: 804

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Text #1

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 936132 (C4 (Web Text))

Max Activating Token Index: 4

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Truncated

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Text #2

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Max Act: 0.0328. Min Act: -0.0002

Data Index: 394204 (C4 (Web Text))

Max Activating Token Index: 2

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Text #3

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Max Act: 0.0328. Min Act: -0.0002

Data Index: 456648 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #4

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Max Act: 0.0328. Min Act: -0.0002

Data Index: 193051 (C4 (Web Text))

Max Activating Token Index: 2

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Truncated

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Text #5

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Max Act: 0.0313. Min Act: -0.0002

Data Index: 70086 (C4 (Web Text))

Max Activating Token Index: 550

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Text #6

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Data Index: 1227316 (C4 (Web Text))

Max Activating Token Index: 395

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Text #7

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Data Index: 487055 (C4 (Web Text))

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Text #8

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Data Index: 1303635 (C4 (Web Text))

Max Activating Token Index: 771

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Text #9

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Data Index: 311083 (C4 (Web Text))

Max Activating Token Index: 4

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Text #10

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Data Index: 505901 (C4 (Web Text))

Max Activating Token Index: 437

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Text #11

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Data Index: 945452 (C4 (Web Text))

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Text #12

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Data Index: 493301 (C4 (Web Text))

Max Activating Token Index: 767

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Text #13

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Data Index: 1539260 (Python Code)

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Text #14

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Data Index: 163203 (C4 (Web Text))

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Text #15

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Data Index: 945253 (C4 (Web Text))

Max Activating Token Index: 661

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Text #16

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Data Index: 570932 (C4 (Web Text))

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Text #17

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Max Act: 0.0268. Min Act: -0.0002

Data Index: 505192 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #18

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Max Act: 0.0273. Min Act: -0.0002

Data Index: 937607 (C4 (Web Text))

Max Activating Token Index: 205

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Truncated

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Text #19

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 29654 (C4 (Web Text))

Max Activating Token Index: 721

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