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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 95 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0017. Min Act: -0.0000

Data Index: 1449158 (Python Code)

Max Activating Token Index: 235

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Text #1

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Data Index: 475405 (C4 (Web Text))

Max Activating Token Index: 489

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Text #2

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Max Act: 0.0015. Min Act: -0.0000

Data Index: 1445601 (Python Code)

Max Activating Token Index: 16

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Text #3

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Data Index: 1645285 (Python Code)

Max Activating Token Index: 33

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Text #4

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Data Index: 1586459 (Python Code)

Max Activating Token Index: 14

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Text #5

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Data Index: 1550132 (Python Code)

Max Activating Token Index: 298

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Text #6

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Data Index: 191195 (C4 (Web Text))

Max Activating Token Index: 258

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Text #7

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Data Index: 1465021 (Python Code)

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Text #8

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Data Index: 1386376 (Python Code)

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Text #9

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Data Index: 1590781 (Python Code)

Max Activating Token Index: 11

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Text #10

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Data Index: 1421235 (Python Code)

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Text #11

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Data Index: 1418908 (Python Code)

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Text #12

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Data Index: 1620477 (Python Code)

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Text #13

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Data Index: 1607334 (Python Code)

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Text #14

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Data Index: 1503987 (Python Code)

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Text #15

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Data Index: 1587752 (Python Code)

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Text #16

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Data Index: 1380618 (Python Code)

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Text #17

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Data Index: 1544298 (Python Code)

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Text #18

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Data Index: 1367074 (Python Code)

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Text #19

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Data Index: 1516098 (Python Code)

Max Activating Token Index: 15

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