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

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

Neuron 2813 in Layer 9

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



Text #0

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Max Act: 0.0037. Min Act: -0.0000

Data Index: 1645285 (Python Code)

Max Activating Token Index: 33

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Text #1

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Max Act: 0.0040. Min Act: -0.0000

Data Index: 1607334 (Python Code)

Max Activating Token Index: 21

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Text #2

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Max Act: 0.0033. Min Act: -0.0000

Data Index: 1516098 (Python Code)

Max Activating Token Index: 15

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Text #3

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Max Act: 0.0031. Min Act: -0.0000

Data Index: 1544298 (Python Code)

Max Activating Token Index: 24

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Text #4

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Max Act: 0.0032. Min Act: -0.0000

Data Index: 1628402 (Python Code)

Max Activating Token Index: 22

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Text #5

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Max Act: 0.0029. Min Act: -0.0000

Data Index: 1476406 (Python Code)

Max Activating Token Index: 22

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Text #6

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Data Index: 1533116 (Python Code)

Max Activating Token Index: 13

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Text #7

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Data Index: 1406281 (Python Code)

Max Activating Token Index: 9

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Text #8

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Data Index: 1613461 (Python Code)

Max Activating Token Index: 35

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Text #9

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Data Index: 1415303 (Python Code)

Max Activating Token Index: 12

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Text #10

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Data Index: 191195 (C4 (Web Text))

Max Activating Token Index: 258

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Text #11

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Data Index: 1587465 (Python Code)

Max Activating Token Index: 46

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Text #12

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Data Index: 1218738 (C4 (Web Text))

Max Activating Token Index: 705

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Text #13

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Data Index: 1536135 (Python Code)

Max Activating Token Index: 25

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Text #14

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Data Index: 1575305 (Python Code)

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Text #15

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Data Index: 1406960 (Python Code)

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Text #16

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Data Index: 1611236 (Python Code)

Max Activating Token Index: 26

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Text #17

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Data Index: 1421235 (Python Code)

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Text #18

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Data Index: 1590781 (Python Code)

Max Activating Token Index: 11

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Text #19

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Data Index: 1376308 (Python Code)

Max Activating Token Index: 19

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