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

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

Neuron 276 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: 0.0198. Min Act: -0.0003

Data Index: 1405608 (Python Code)

Max Activating Token Index: 699

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Text #1

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 1639145 (Python Code)

Max Activating Token Index: 676

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Text #2

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 1464554 (Python Code)

Max Activating Token Index: 324

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Text #3

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 1420264 (Python Code)

Max Activating Token Index: 765

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Text #4

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Data Index: 220461 (C4 (Web Text))

Max Activating Token Index: 133

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Text #5

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Data Index: 1572227 (Python Code)

Max Activating Token Index: 358

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Text #6

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Data Index: 1076320 (C4 (Web Text))

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Text #7

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Data Index: 1578983 (Python Code)

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Text #8

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Data Index: 1423737 (Python Code)

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Text #9

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Data Index: 1601360 (Python Code)

Max Activating Token Index: 776

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Text #10

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Data Index: 1503972 (Python Code)

Max Activating Token Index: 942

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Text #11

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Data Index: 1362770 (Python Code)

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Text #12

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Data Index: 1625209 (Python Code)

Max Activating Token Index: 377

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Text #13

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Data Index: 1379603 (Python Code)

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Text #14

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Data Index: 1428310 (Python Code)

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Text #15

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Data Index: 1434750 (Python Code)

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Text #16

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Data Index: 1570116 (Python Code)

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Text #17

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Data Index: 1564993 (Python Code)

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Text #18

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Data Index: 1455486 (Python Code)

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Text #19

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Data Index: 1405485 (Python Code)

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