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

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

Neuron 2815 in Layer 6

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



Text #0

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Max Act: 0.6043. Min Act: -0.0000

Data Index: 1061758 (C4 (Web Text))

Max Activating Token Index: 884

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Text #1

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Data Index: 1463955 (Python Code)

Max Activating Token Index: 621

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Text #2

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Max Act: 0.5155. Min Act: -0.0000

Data Index: 1637702 (Python Code)

Max Activating Token Index: 341

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Text #3

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Max Act: 0.5653. Min Act: -0.0000

Data Index: 1566549 (Python Code)

Max Activating Token Index: 272

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Text #4

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Data Index: 1472354 (Python Code)

Max Activating Token Index: 877

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Text #5

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Data Index: 1535741 (Python Code)

Max Activating Token Index: 847

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Text #6

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Data Index: 1562613 (Python Code)

Max Activating Token Index: 175

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Text #7

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Data Index: 1503845 (Python Code)

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Text #8

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Data Index: 1539800 (Python Code)

Max Activating Token Index: 334

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Text #9

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Data Index: 1424136 (Python Code)

Max Activating Token Index: 821

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Text #10

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Data Index: 1523640 (Python Code)

Max Activating Token Index: 806

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Text #11

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Data Index: 1504590 (Python Code)

Max Activating Token Index: 525

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Text #12

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Text #13

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Data Index: 24182 (C4 (Web Text))

Max Activating Token Index: 575

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Text #14

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Data Index: 1605031 (Python Code)

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Text #15

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Data Index: 1488088 (Python Code)

Max Activating Token Index: 361

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Text #16

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Data Index: 1452973 (Python Code)

Max Activating Token Index: 760

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Text #17

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Data Index: 1581657 (Python Code)

Max Activating Token Index: 695

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Text #18

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Data Index: 1620506 (Python Code)

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Text #19

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Data Index: 1393810 (Python Code)

Max Activating Token Index: 1012

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