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

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

Neuron 1821 in Layer 1

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

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Text #0

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Max Act: 0.0358. Min Act: -0.0001

Data Index: 570192 (C4 (Web Text))

Max Activating Token Index: 451

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Truncated

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Text #1

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Data Index: 240905 (C4 (Web Text))

Max Activating Token Index: 393

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Truncated

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Text #2

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Max Act: 0.0358. Min Act: -0.0001

Data Index: 794456 (C4 (Web Text))

Max Activating Token Index: 449

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Truncated

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Text #3

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 1096607 (C4 (Web Text))

Max Activating Token Index: 377

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Truncated

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Text #4

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Data Index: 19963 (C4 (Web Text))

Max Activating Token Index: 415

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Truncated

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Text #5

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 715997 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 669879 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 686900 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1246782 (C4 (Web Text))

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Truncated

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Text #9

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Data Index: 979897 (C4 (Web Text))

Max Activating Token Index: 449

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Truncated

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Text #10

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Data Index: 1452473 (Python Code)

Max Activating Token Index: 851

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Truncated

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Text #11

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Data Index: 914263 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1225499 (C4 (Web Text))

Max Activating Token Index: 451

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Truncated

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Text #13

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Data Index: 1244214 (C4 (Web Text))

Max Activating Token Index: 415

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Truncated

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Text #14

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Data Index: 1501155 (Python Code)

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Truncated

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Text #15

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Data Index: 337241 (C4 (Web Text))

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Truncated

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Text #16

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Data Index: 588558 (C4 (Web Text))

Max Activating Token Index: 400

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Truncated

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Text #17

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Data Index: 587183 (C4 (Web Text))

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Truncated

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Text #18

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 199019 (C4 (Web Text))

Max Activating Token Index: 308

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Truncated

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Text #19

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Data Index: 1350437 (C4 (Web Text))

Max Activating Token Index: 516

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