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

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

Neuron 5048 in Layer 6

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



Text #0

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Max Act: 0.1919. Min Act: -0.0000

Data Index: 1020094 (C4 (Web Text))

Max Activating Token Index: 166

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Text #1

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Max Act: 0.1718. Min Act: -0.0000

Data Index: 319574 (C4 (Web Text))

Max Activating Token Index: 750

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Truncated

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Text #2

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Max Act: 0.1578. Min Act: -0.0000

Data Index: 106448 (C4 (Web Text))

Max Activating Token Index: 379

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Text #3

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Max Act: 0.1711. Min Act: -0.0000

Data Index: 417618 (C4 (Web Text))

Max Activating Token Index: 723

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Truncated

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Text #4

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Max Act: 0.1640. Min Act: -0.0000

Data Index: 646956 (C4 (Web Text))

Max Activating Token Index: 121

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Truncated

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Text #5

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Max Act: 0.1555. Min Act: -0.0000

Data Index: 1423841 (Python Code)

Max Activating Token Index: 997

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Text #6

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Data Index: 1647348 (Python Code)

Max Activating Token Index: 888

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Text #7

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Data Index: 156620 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 540343 (C4 (Web Text))

Max Activating Token Index: 292

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Text #9

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Max Act: 0.1479. Min Act: -0.0000

Data Index: 704767 (C4 (Web Text))

Max Activating Token Index: 764

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Text #10

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Data Index: 29146 (C4 (Web Text))

Max Activating Token Index: 331

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Text #11

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Data Index: 840061 (C4 (Web Text))

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Text #12

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Data Index: 182409 (C4 (Web Text))

Max Activating Token Index: 237

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Text #13

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Data Index: 1149479 (C4 (Web Text))

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Text #14

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Data Index: 152682 (C4 (Web Text))

Max Activating Token Index: 393

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Text #15

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Data Index: 1432256 (Python Code)

Max Activating Token Index: 659

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Text #16

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Data Index: 281361 (C4 (Web Text))

Max Activating Token Index: 374

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Truncated

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Text #17

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Max Act: 0.1263. Min Act: -0.0000

Data Index: 178124 (C4 (Web Text))

Max Activating Token Index: 757

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Text #18

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Max Act: 0.1310. Min Act: -0.0001

Data Index: 91873 (C4 (Web Text))

Max Activating Token Index: 502

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Truncated

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Text #19

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Data Index: 293345 (C4 (Web Text))

Max Activating Token Index: 52

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