Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1916 in Layer 0

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Text #0

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Max Act: 0.0658. Min Act: -0.0003

Data Index: 91114 (C4 (Web Text))

Max Activating Token Index: 359

Text #1

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Max Act: 0.0610. Min Act: -0.0003

Data Index: 1444585 (Python Code)

Max Activating Token Index: 71

Text #2

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Max Act: 0.0583. Min Act: -0.0003

Data Index: 597949 (C4 (Web Text))

Max Activating Token Index: 548

Text #3

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Max Act: 0.0602. Min Act: -0.0003

Data Index: 1406954 (Python Code)

Max Activating Token Index: 633

Text #4

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Max Act: 0.0585. Min Act: -0.0003

Data Index: 1356585 (C4 (Web Text))

Max Activating Token Index: 439

Text #5

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Max Activating Token Index: 697

Text #6

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Max Activating Token Index: 163

Text #7

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Text #8

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Data Index: 1594990 (Python Code)

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Text #9

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Data Index: 1252600 (C4 (Web Text))

Max Activating Token Index: 485

Text #10

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Data Index: 18436 (C4 (Web Text))

Max Activating Token Index: 466

Text #11

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Data Index: 175374 (C4 (Web Text))

Max Activating Token Index: 997

Text #12

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Data Index: 1523426 (Python Code)

Max Activating Token Index: 58

Text #13

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Data Index: 260555 (C4 (Web Text))

Max Activating Token Index: 447

Text #14

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Max Activating Token Index: 981

Text #15

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Max Activating Token Index: 602

Text #16

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Data Index: 1596577 (Python Code)

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Text #17

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Data Index: 1602062 (Python Code)

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Text #18

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Data Index: 1337169 (C4 (Web Text))

Max Activating Token Index: 273

Text #19

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Max Act: 0.0531. Min Act: -0.0003

Data Index: 1450349 (Python Code)

Max Activating Token Index: 56