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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 298 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0093. Min Act: -0.0006

Data Index: 1563042 (Python Code)

Max Activating Token Index: 648

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Text #1

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Max Act: 0.0084. Min Act: -0.0006

Data Index: 1465188 (Python Code)

Max Activating Token Index: 523

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Text #2

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 1481191 (Python Code)

Max Activating Token Index: 939

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Text #3

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 172738 (C4 (Web Text))

Max Activating Token Index: 917

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Text #4

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 1362789 (Python Code)

Max Activating Token Index: 874

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Text #5

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 1647454 (Python Code)

Max Activating Token Index: 673

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Text #6

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Data Index: 1364226 (Python Code)

Max Activating Token Index: 941

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Text #7

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Data Index: 1481969 (Python Code)

Max Activating Token Index: 251

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Text #8

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Data Index: 1637215 (Python Code)

Max Activating Token Index: 948

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Text #9

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Data Index: 1562731 (Python Code)

Max Activating Token Index: 896

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Text #10

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Data Index: 1436000 (Python Code)

Max Activating Token Index: 449

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Text #11

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Data Index: 1433663 (Python Code)

Max Activating Token Index: 422

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Text #12

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Data Index: 1442718 (Python Code)

Max Activating Token Index: 945

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Text #13

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Data Index: 1506450 (Python Code)

Max Activating Token Index: 305

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Text #14

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Data Index: 1511160 (Python Code)

Max Activating Token Index: 715

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Text #15

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Data Index: 1065673 (C4 (Web Text))

Max Activating Token Index: 896

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Text #16

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Data Index: 1566924 (Python Code)

Max Activating Token Index: 371

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Text #17

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Data Index: 1451046 (Python Code)

Max Activating Token Index: 934

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Text #18

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Data Index: 1365116 (Python Code)

Max Activating Token Index: 311

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Text #19

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Max Act: 0.0070. Min Act: -0.0005

Data Index: 1568735 (Python Code)

Max Activating Token Index: 185

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