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

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

Neuron 1108 in Layer 1

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



Text #0

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Max Act: 0.0663. Min Act: -0.0002

Data Index: 457195 (C4 (Web Text))

Max Activating Token Index: 814

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Text #1

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Max Act: 0.0618. Min Act: -0.0003

Data Index: 465845 (C4 (Web Text))

Max Activating Token Index: 258

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Truncated

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Text #2

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 959870 (C4 (Web Text))

Max Activating Token Index: 55

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Text #3

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Max Act: 0.0595. Min Act: -0.0002

Data Index: 191573 (C4 (Web Text))

Max Activating Token Index: 164

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Truncated

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Text #4

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Max Act: 0.0610. Min Act: -0.0002

Data Index: 984784 (C4 (Web Text))

Max Activating Token Index: 293

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Truncated

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Text #5

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Max Act: 0.0596. Min Act: -0.0002

Data Index: 873753 (C4 (Web Text))

Max Activating Token Index: 368

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Text #6

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Data Index: 853439 (C4 (Web Text))

Max Activating Token Index: 514

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Truncated

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Text #7

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Data Index: 1185834 (C4 (Web Text))

Max Activating Token Index: 880

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Truncated

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Text #8

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Data Index: 823610 (C4 (Web Text))

Max Activating Token Index: 389

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Text #9

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Data Index: 863890 (C4 (Web Text))

Max Activating Token Index: 284

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Truncated

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Text #10

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Data Index: 784562 (C4 (Web Text))

Max Activating Token Index: 981

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Truncated

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Text #11

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Data Index: 174832 (C4 (Web Text))

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Text #12

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Data Index: 845996 (C4 (Web Text))

Max Activating Token Index: 635

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Text #13

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Data Index: 888667 (C4 (Web Text))

Max Activating Token Index: 246

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Truncated

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Text #14

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Data Index: 1478294 (Python Code)

Max Activating Token Index: 73

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Text #15

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Data Index: 1384833 (Python Code)

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Text #16

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Data Index: 727259 (C4 (Web Text))

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Text #17

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Data Index: 1566428 (Python Code)

Max Activating Token Index: 32

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Text #18

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Max Act: 0.0528. Min Act: -0.0002

Data Index: 604938 (C4 (Web Text))

Max Activating Token Index: 727

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Truncated

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Text #19

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Data Index: 638664 (C4 (Web Text))

Max Activating Token Index: 993

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