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

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

Neuron 544 in Layer 1

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



Text #0

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Max Act: 0.0495. Min Act: -0.0003

Data Index: 1608605 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Data Index: 1484896 (Python Code)

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 541402 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Data Index: 373665 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Data Index: 949334 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Data Index: 937052 (C4 (Web Text))

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Text #6

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Data Index: 1583505 (Python Code)

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Text #7

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Data Index: 603748 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1076501 (C4 (Web Text))

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Text #9

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Data Index: 629216 (C4 (Web Text))

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Text #10

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Data Index: 684248 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 70635 (C4 (Web Text))

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Text #12

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Data Index: 606834 (C4 (Web Text))

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Text #13

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Data Index: 298371 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 816647 (C4 (Web Text))

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Text #15

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Data Index: 131607 (C4 (Web Text))

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Text #16

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Data Index: 58564 (C4 (Web Text))

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Text #17

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Data Index: 1166585 (C4 (Web Text))

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Text #18

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Max Act: 0.0246. Min Act: -0.0003

Data Index: 1125808 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 1157377 (C4 (Web Text))

Max Activating Token Index: 1023

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