Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 801 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0137. Min Act: -0.0005

Data Index: 1488822 (Python Code)

Max Activating Token Index: 438

Text #1

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Max Act: 0.0131. Min Act: -0.0005

Data Index: 1566717 (Python Code)

Max Activating Token Index: 597

Text #2

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Max Act: 0.0128. Min Act: -0.0005

Data Index: 1484912 (Python Code)

Max Activating Token Index: 840

Text #3

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1555435 (Python Code)

Max Activating Token Index: 283

Text #4

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1654097 (Python Code)

Max Activating Token Index: 86

Text #5

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1512181 (Python Code)

Max Activating Token Index: 132

Text #6

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Data Index: 1377291 (Python Code)

Max Activating Token Index: 909

Text #7

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Data Index: 1630618 (Python Code)

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Text #8

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Data Index: 1565644 (Python Code)

Max Activating Token Index: 820

Text #9

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Data Index: 1466049 (Python Code)

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Text #10

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Data Index: 1561514 (Python Code)

Max Activating Token Index: 389

Text #11

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Data Index: 1650369 (Python Code)

Max Activating Token Index: 472

Text #12

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Data Index: 1370214 (Python Code)

Max Activating Token Index: 586

Text #13

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Data Index: 200519 (C4 (Web Text))

Max Activating Token Index: 701

Text #14

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Data Index: 1522799 (Python Code)

Max Activating Token Index: 815

Text #15

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Data Index: 1499306 (Python Code)

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Text #16

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Data Index: 1606980 (Python Code)

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Text #17

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Data Index: 1616249 (Python Code)

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Text #18

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Data Index: 1652866 (Python Code)

Max Activating Token Index: 452

Text #19

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Data Index: 1638419 (Python Code)

Max Activating Token Index: 952