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

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

Neuron 326 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0824. Min Act: -0.0003

Data Index: 1652716 (Python Code)

Max Activating Token Index: 341

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Text #1

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Max Act: 0.0830. Min Act: -0.0003

Data Index: 1568375 (Python Code)

Max Activating Token Index: 118

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Text #2

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Max Act: 0.0770. Min Act: -0.0003

Data Index: 1516702 (Python Code)

Max Activating Token Index: 326

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Text #3

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Max Act: 0.0775. Min Act: -0.0003

Data Index: 1552307 (Python Code)

Max Activating Token Index: 997

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Text #4

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Data Index: 1527292 (Python Code)

Max Activating Token Index: 289

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Text #5

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Data Index: 1556755 (Python Code)

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Data Index: 1477981 (Python Code)

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Text #7

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Data Index: 1432417 (Python Code)

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Text #8

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Data Index: 1365438 (Python Code)

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Text #9

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Data Index: 1655551 (Python Code)

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Text #10

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Data Index: 1551202 (Python Code)

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Text #11

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Data Index: 1489223 (Python Code)

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Text #12

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Data Index: 1651086 (Python Code)

Max Activating Token Index: 804

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Text #13

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Data Index: 1531825 (Python Code)

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Text #14

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Data Index: 1471204 (Python Code)

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Text #15

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Data Index: 1361821 (Python Code)

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Text #16

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Data Index: 1394387 (Python Code)

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Text #17

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Text #18

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Text #19

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Data Index: 1455983 (Python Code)

Max Activating Token Index: 757

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