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

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

Neuron 236 in Layer 0

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

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Text #0

Max Range: 0.0493. Min Range: -0.0493

Max Act: 0.0493. Min Act: -0.0002

Data Index: 1459171 (Python Code)

Max Activating Token Index: 699

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Text #1

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 1385031 (Python Code)

Max Activating Token Index: 866

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Text #2

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1100386 (C4 (Web Text))

Max Activating Token Index: 952

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Text #3

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Max Act: 0.0214. Min Act: -0.0002

Data Index: 629646 (C4 (Web Text))

Max Activating Token Index: 269

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Text #4

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 1072699 (C4 (Web Text))

Max Activating Token Index: 128

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Text #5

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 1578837 (Python Code)

Max Activating Token Index: 185

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Text #6

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Data Index: 1415708 (Python Code)

Max Activating Token Index: 645

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Text #7

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Data Index: 1625434 (Python Code)

Max Activating Token Index: 890

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Text #8

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Data Index: 1641248 (Python Code)

Max Activating Token Index: 850

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Text #9

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Data Index: 1504449 (Python Code)

Max Activating Token Index: 502

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Text #10

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Data Index: 1603582 (Python Code)

Max Activating Token Index: 1023

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Text #11

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Data Index: 1607186 (Python Code)

Max Activating Token Index: 166

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Text #12

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Data Index: 1538157 (Python Code)

Max Activating Token Index: 935

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Text #13

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Data Index: 1640567 (Python Code)

Max Activating Token Index: 767

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Text #14

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Data Index: 1564355 (Python Code)

Max Activating Token Index: 484

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Text #15

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Data Index: 1401720 (Python Code)

Max Activating Token Index: 334

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Text #16

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Data Index: 1532508 (Python Code)

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Text #17

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Data Index: 1559347 (Python Code)

Max Activating Token Index: 244

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Text #18

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Data Index: 1630106 (Python Code)

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Text #19

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Data Index: 1523232 (Python Code)

Max Activating Token Index: 721

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