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

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

Neuron 22 in Layer 9

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



Text #0

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Max Act: 0.4559. Min Act: -0.0000

Data Index: 383977 (C4 (Web Text))

Max Activating Token Index: 780

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Truncated

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Text #1

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Data Index: 166129 (C4 (Web Text))

Max Activating Token Index: 643

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Truncated

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Text #2

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Max Act: 0.4038. Min Act: -0.0000

Data Index: 555233 (C4 (Web Text))

Max Activating Token Index: 342

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Text #3

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Data Index: 1027506 (C4 (Web Text))

Max Activating Token Index: 257

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Truncated

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Text #4

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Data Index: 306365 (C4 (Web Text))

Max Activating Token Index: 827

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Truncated

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Text #5

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Data Index: 1325681 (C4 (Web Text))

Max Activating Token Index: 918

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Text #6

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Data Index: 421537 (C4 (Web Text))

Max Activating Token Index: 169

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Truncated

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Text #7

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Data Index: 1055555 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 652791 (C4 (Web Text))

Max Activating Token Index: 612

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Text #9

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Data Index: 764359 (C4 (Web Text))

Max Activating Token Index: 301

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Truncated

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Text #10

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Data Index: 715528 (C4 (Web Text))

Max Activating Token Index: 859

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 351675 (C4 (Web Text))

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Text #13

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Data Index: 533422 (C4 (Web Text))

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Truncated

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Text #14

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Text #15

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Data Index: 493472 (C4 (Web Text))

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Text #16

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Data Index: 101314 (C4 (Web Text))

Max Activating Token Index: 960

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Text #17

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Data Index: 1061050 (C4 (Web Text))

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Text #18

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Max Act: 0.3401. Min Act: -0.0000

Data Index: 254584 (C4 (Web Text))

Max Activating Token Index: 402

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Text #19

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Data Index: 1094726 (C4 (Web Text))

Max Activating Token Index: 178

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