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

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

Neuron 8 in Layer 0

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



Text #0

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Max Act: 0.0172. Min Act: -0.0004

Data Index: 1473753 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0162. Min Act: -0.0004

Data Index: 1637631 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0143. Min Act: -0.0006

Data Index: 1638982 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0138. Min Act: -0.0005

Data Index: 1587485 (Python Code)

Max Activating Token Index: 589

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Text #4

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Data Index: 1521881 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Data Index: 1450753 (Python Code)

Max Activating Token Index: 1023

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Text #6

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Data Index: 1561897 (Python Code)

Max Activating Token Index: 983

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Text #7

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Data Index: 1614454 (Python Code)

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Text #8

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Data Index: 1643857 (Python Code)

Max Activating Token Index: 1023

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Text #9

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Data Index: 1483898 (Python Code)

Max Activating Token Index: 1023

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Text #10

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Data Index: 1526113 (Python Code)

Max Activating Token Index: 1023

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Text #11

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Data Index: 1579418 (Python Code)

Max Activating Token Index: 1023

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Text #12

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Data Index: 1481739 (Python Code)

Max Activating Token Index: 1023

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Text #13

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Data Index: 1432051 (Python Code)

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Text #14

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Data Index: 1481823 (Python Code)

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Text #15

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Data Index: 1577207 (Python Code)

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Text #16

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Data Index: 1534987 (Python Code)

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Text #17

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Data Index: 1457655 (Python Code)

Max Activating Token Index: 1023

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Text #18

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Data Index: 1429503 (Python Code)

Max Activating Token Index: 1023

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Text #19

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Data Index: 1580556 (Python Code)

Max Activating Token Index: 993

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