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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 336 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0516. Min Act: -0.0002

Data Index: 606551 (C4 (Web Text))

Max Activating Token Index: 566

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Text #1

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 392473 (C4 (Web Text))

Max Activating Token Index: 708

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Text #2

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Max Act: 0.0470. Min Act: -0.0002

Data Index: 1499668 (Python Code)

Max Activating Token Index: 770

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Text #3

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Max Act: 0.0454. Min Act: -0.0002

Data Index: 889754 (C4 (Web Text))

Max Activating Token Index: 305

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Text #4

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Data Index: 898486 (C4 (Web Text))

Max Activating Token Index: 447

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Text #5

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Data Index: 996618 (C4 (Web Text))

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Text #6

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Data Index: 1434830 (Python Code)

Max Activating Token Index: 252

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Text #7

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Data Index: 436166 (C4 (Web Text))

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Text #8

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Data Index: 1328875 (C4 (Web Text))

Max Activating Token Index: 663

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Text #9

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Data Index: 502290 (C4 (Web Text))

Max Activating Token Index: 930

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Text #10

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Data Index: 1426122 (Python Code)

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Text #11

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Data Index: 243213 (C4 (Web Text))

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Text #12

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Data Index: 394629 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 180136 (C4 (Web Text))

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Text #15

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Data Index: 480081 (C4 (Web Text))

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Text #16

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Data Index: 57885 (C4 (Web Text))

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Text #17

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Data Index: 131537 (C4 (Web Text))

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Text #18

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Data Index: 1060917 (C4 (Web Text))

Max Activating Token Index: 840

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Text #19

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Data Index: 892922 (C4 (Web Text))

Max Activating Token Index: 731

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