Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3007 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0550. Min Act: -0.0001

Data Index: 1258473 (C4 (Web Text))

Max Activating Token Index: 10

Text #1

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Max Act: 0.0488. Min Act: -0.0001

Data Index: 1763 (C4 (Web Text))

Max Activating Token Index: 4

Text #2

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Data Index: 1211650 (C4 (Web Text))

Max Activating Token Index: 16

Text #3

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Max Act: 0.0403. Min Act: -0.0001

Data Index: 929093 (C4 (Web Text))

Max Activating Token Index: 9

Text #4

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Data Index: 1288448 (C4 (Web Text))

Max Activating Token Index: 55

Text #5

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Max Act: 0.0385. Min Act: -0.0001

Data Index: 139177 (C4 (Web Text))

Max Activating Token Index: 559

Text #6

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Max Activating Token Index: 734

Text #7

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Max Activating Token Index: 14

Text #8

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Data Index: 1441639 (Python Code)

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Text #9

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Data Index: 217791 (C4 (Web Text))

Max Activating Token Index: 28

Text #10

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Max Activating Token Index: 32

Text #11

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Max Activating Token Index: 647

Text #12

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Max Activating Token Index: 755

Text #13

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Max Activating Token Index: 952

Text #14

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Max Activating Token Index: 541

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 14

Text #18

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Max Activating Token Index: 705

Text #19

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Data Index: 619634 (C4 (Web Text))

Max Activating Token Index: 680