Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1075 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0183. Min Act: -0.0004

Data Index: 1539764 (Python Code)

Max Activating Token Index: 1020

Text #1

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Max Act: 0.0179. Min Act: -0.0004

Data Index: 1533267 (Python Code)

Max Activating Token Index: 985

Text #2

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Max Act: 0.0179. Min Act: -0.0004

Data Index: 1413173 (Python Code)

Max Activating Token Index: 549

Text #3

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 1601151 (Python Code)

Max Activating Token Index: 844

Text #4

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Max Act: 0.0169. Min Act: -0.0004

Data Index: 1406467 (Python Code)

Max Activating Token Index: 380

Text #5

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Max Act: 0.0171. Min Act: -0.0004

Data Index: 1421700 (Python Code)

Max Activating Token Index: 997

Text #6

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Max Act: 0.0171. Min Act: -0.0004

Data Index: 1456960 (Python Code)

Max Activating Token Index: 180

Text #7

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Data Index: 1521059 (Python Code)

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Text #8

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Data Index: 1539189 (Python Code)

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Text #9

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Data Index: 1457014 (Python Code)

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Text #10

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Data Index: 1399447 (Python Code)

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Text #11

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Data Index: 1597682 (Python Code)

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Text #12

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Data Index: 1475373 (Python Code)

Max Activating Token Index: 368

Text #13

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Data Index: 1561618 (Python Code)

Max Activating Token Index: 911

Text #14

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Data Index: 1533815 (Python Code)

Max Activating Token Index: 990

Text #15

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Data Index: 1374586 (Python Code)

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Text #16

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Data Index: 1512205 (Python Code)

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Text #17

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Data Index: 1502220 (Python Code)

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Text #18

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Data Index: 1473323 (Python Code)

Max Activating Token Index: 978

Text #19

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Max Act: 0.0163. Min Act: -0.0004

Data Index: 1601419 (Python Code)

Max Activating Token Index: 1000