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

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

Neuron 272 in Layer 1

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



Text #0

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Max Act: 0.0319. Min Act: -0.0002

Data Index: 1451321 (Python Code)

Max Activating Token Index: 202

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Text #1

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Max Act: 0.0256. Min Act: -0.0003

Data Index: 1551794 (Python Code)

Max Activating Token Index: 864

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Text #2

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Max Act: 0.0248. Min Act: -0.0003

Data Index: 1441099 (Python Code)

Max Activating Token Index: 701

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Text #3

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 1008277 (C4 (Web Text))

Max Activating Token Index: 576

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Text #4

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Data Index: 1615579 (Python Code)

Max Activating Token Index: 830

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Text #5

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Data Index: 1489394 (Python Code)

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Text #6

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Data Index: 1581026 (Python Code)

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Text #7

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Data Index: 1547251 (Python Code)

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Text #8

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Data Index: 1616831 (Python Code)

Max Activating Token Index: 321

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Text #9

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Data Index: 1649402 (Python Code)

Max Activating Token Index: 897

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Text #10

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Data Index: 1507396 (Python Code)

Max Activating Token Index: 838

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Text #11

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Data Index: 1452126 (Python Code)

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Text #12

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Data Index: 149207 (C4 (Web Text))

Max Activating Token Index: 847

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Text #13

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Data Index: 1631564 (Python Code)

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Text #14

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Data Index: 1650543 (Python Code)

Max Activating Token Index: 690

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Text #15

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Data Index: 1525341 (Python Code)

Max Activating Token Index: 930

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Text #16

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Data Index: 1636717 (Python Code)

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Text #17

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Data Index: 1587568 (Python Code)

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Text #18

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Data Index: 1623092 (Python Code)

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Text #19

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Data Index: 1594447 (Python Code)

Max Activating Token Index: 1013

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