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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3401 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 179396 (C4 (Web Text))

Max Activating Token Index: 940

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Text #1

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Max Act: 0.0442. Min Act: -0.0003

Data Index: 1329973 (C4 (Web Text))

Max Activating Token Index: 497

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Truncated

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Text #2

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 793029 (C4 (Web Text))

Max Activating Token Index: 572

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Text #3

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 133325 (C4 (Web Text))

Max Activating Token Index: 542

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Truncated

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Text #4

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Data Index: 551 (C4 (Web Text))

Max Activating Token Index: 271

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Text #5

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Data Index: 1132969 (C4 (Web Text))

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Text #6

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Data Index: 379939 (C4 (Web Text))

Max Activating Token Index: 471

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Text #7

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Data Index: 758747 (C4 (Web Text))

Max Activating Token Index: 69

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Text #8

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Data Index: 1360561 (Python Code)

Max Activating Token Index: 418

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Text #9

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Data Index: 1131797 (C4 (Web Text))

Max Activating Token Index: 296

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Text #10

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Data Index: 90538 (C4 (Web Text))

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Text #11

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Data Index: 472473 (C4 (Web Text))

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Text #12

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Data Index: 279022 (C4 (Web Text))

Max Activating Token Index: 562

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Text #13

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Data Index: 528480 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1350921 (C4 (Web Text))

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Text #15

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Data Index: 753121 (C4 (Web Text))

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Text #16

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Data Index: 1636155 (Python Code)

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Text #17

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Data Index: 584364 (C4 (Web Text))

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Text #18

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 659100 (C4 (Web Text))

Max Activating Token Index: 827

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Text #19

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 656103 (C4 (Web Text))

Max Activating Token Index: 580

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