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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1665 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



Text #0

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Max Act: 0.0075. Min Act: -0.0004

Data Index: 1476940 (Python Code)

Max Activating Token Index: 162

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Text #1

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Data Index: 1547853 (Python Code)

Max Activating Token Index: 524

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Text #2

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1425344 (Python Code)

Max Activating Token Index: 389

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Text #3

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Data Index: 1540042 (Python Code)

Max Activating Token Index: 47

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Text #4

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Data Index: 1363701 (Python Code)

Max Activating Token Index: 736

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Text #5

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Data Index: 1370457 (Python Code)

Max Activating Token Index: 419

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Text #6

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Data Index: 900837 (C4 (Web Text))

Max Activating Token Index: 21

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Text #7

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Data Index: 1584004 (Python Code)

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Text #8

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Data Index: 1419567 (Python Code)

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Text #9

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Data Index: 1647453 (Python Code)

Max Activating Token Index: 27

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Text #10

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Data Index: 1365384 (Python Code)

Max Activating Token Index: 37

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Text #11

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Data Index: 1475461 (Python Code)

Max Activating Token Index: 423

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Text #12

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Data Index: 1460325 (Python Code)

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Text #13

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Data Index: 1620060 (Python Code)

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Text #14

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Data Index: 758349 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #15

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Data Index: 370147 (C4 (Web Text))

Max Activating Token Index: 343

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Text #16

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Data Index: 1580293 (Python Code)

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Text #17

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Data Index: 41534 (C4 (Web Text))

Max Activating Token Index: 171

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Text #18

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Data Index: 1127287 (C4 (Web Text))

Max Activating Token Index: 995

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Text #19

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Data Index: 1501592 (Python Code)

Max Activating Token Index: 222

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