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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 280 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0089. Min Act: -0.0003

Data Index: 1369490 (Python Code)

Max Activating Token Index: 955

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Text #1

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Max Act: 0.0089. Min Act: -0.0003

Data Index: 1551669 (Python Code)

Max Activating Token Index: 19

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Text #2

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Max Act: 0.0087. Min Act: -0.0003

Data Index: 1497907 (Python Code)

Max Activating Token Index: 15

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Text #3

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 323030 (C4 (Web Text))

Max Activating Token Index: 374

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Text #4

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Max Act: 0.0085. Min Act: -0.0003

Data Index: 886919 (C4 (Web Text))

Max Activating Token Index: 576

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Text #5

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Data Index: 1521200 (Python Code)

Max Activating Token Index: 818

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Text #6

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Data Index: 1623127 (Python Code)

Max Activating Token Index: 244

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Text #7

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Data Index: 1509011 (Python Code)

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Text #8

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Data Index: 1612454 (Python Code)

Max Activating Token Index: 222

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Text #9

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Data Index: 1394893 (Python Code)

Max Activating Token Index: 520

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Text #10

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Data Index: 1538695 (Python Code)

Max Activating Token Index: 18

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Text #11

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Data Index: 1513539 (Python Code)

Max Activating Token Index: 984

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Text #12

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Data Index: 1556286 (Python Code)

Max Activating Token Index: 258

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Text #13

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Data Index: 1421357 (Python Code)

Max Activating Token Index: 618

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Text #14

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Data Index: 1507362 (Python Code)

Max Activating Token Index: 62

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Text #15

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Data Index: 1600182 (Python Code)

Max Activating Token Index: 355

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Text #16

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Data Index: 1533322 (Python Code)

Max Activating Token Index: 585

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Text #17

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Data Index: 1500718 (Python Code)

Max Activating Token Index: 338

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Text #18

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Data Index: 1644128 (Python Code)

Max Activating Token Index: 500

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Text #19

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Max Act: 0.0076. Min Act: -0.0003

Data Index: 1502763 (Python Code)

Max Activating Token Index: 878

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