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

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

Neuron 994 in Layer 0

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

Text #0

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1610779 (Python Code)

Max Activating Token Index: 1023

Text #1

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Data Index: 1495506 (Python Code)

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Text #2

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Data Index: 1632278 (Python Code)

Max Activating Token Index: 1013

Text #3

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 1637090 (Python Code)

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Text #4

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Data Index: 1642132 (Python Code)

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Text #5

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Data Index: 1387348 (Python Code)

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Text #6

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Data Index: 1592564 (Python Code)

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Text #7

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Data Index: 1495978 (Python Code)

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Data Index: 1593731 (Python Code)

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Data Index: 1627617 (Python Code)

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Text #10

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Data Index: 1534149 (Python Code)

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Data Index: 1465887 (Python Code)

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Text #12

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Data Index: 1614416 (Python Code)

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Text #13

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Data Index: 1489063 (Python Code)

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Text #14

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Data Index: 1551957 (Python Code)

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Text #15

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Data Index: 1592076 (Python Code)

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Text #16

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Text #17

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Data Index: 1591690 (Python Code)

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Text #18

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Data Index: 1625282 (Python Code)

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Text #19

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Data Index: 1491712 (Python Code)

Max Activating Token Index: 1023