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

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

Neuron 7 in Layer 1

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

Text #0

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1555412 (Python Code)

Max Activating Token Index: 97

Text #1

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Max Act: 0.0094. Min Act: -0.0006

Data Index: 1404655 (Python Code)

Max Activating Token Index: 74

Text #2

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1637348 (Python Code)

Max Activating Token Index: 132

Text #3

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Max Act: 0.0091. Min Act: -0.0004

Data Index: 1622014 (Python Code)

Max Activating Token Index: 153

Text #4

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 1438075 (Python Code)

Max Activating Token Index: 35

Text #5

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 1407182 (Python Code)

Max Activating Token Index: 81

Text #6

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 1367481 (Python Code)

Max Activating Token Index: 65

Text #7

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Data Index: 1411541 (Python Code)

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Text #8

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Data Index: 1623970 (Python Code)

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Text #9

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Data Index: 1420859 (Python Code)

Max Activating Token Index: 62

Text #10

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1656130 (Python Code)

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Text #11

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Data Index: 1403564 (Python Code)

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Text #12

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Data Index: 1410252 (Python Code)

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Text #13

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1441734 (Python Code)

Max Activating Token Index: 81

Text #14

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Data Index: 1605626 (Python Code)

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Text #15

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Data Index: 1572107 (Python Code)

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Text #16

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Data Index: 99608 (C4 (Web Text))

Max Activating Token Index: 74

Text #17

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Data Index: 1478157 (Python Code)

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Text #18

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Data Index: 1364421 (Python Code)

Max Activating Token Index: 135

Text #19

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Max Act: 0.0080. Min Act: -0.0006

Data Index: 1644865 (Python Code)

Max Activating Token Index: 42