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

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

Neuron 1616 in Layer 0

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

Text #0

Max Range: 0.0034. Min Range: -0.0034

Max Act: 0.0034. Min Act: -0.0004

Data Index: 1577207 (Python Code)

Max Activating Token Index: 24

Text #1

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Data Index: 1453580 (Python Code)

Max Activating Token Index: 64

Text #2

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Max Act: 0.0033. Min Act: -0.0004

Data Index: 1608783 (Python Code)

Max Activating Token Index: 55

Text #3

Max Range: 0.0034. Min Range: -0.0034

Max Act: 0.0034. Min Act: -0.0004

Data Index: 1541352 (Python Code)

Max Activating Token Index: 55

Text #4

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Max Act: 0.0032. Min Act: -0.0004

Data Index: 1531398 (Python Code)

Max Activating Token Index: 53

Text #5

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Max Act: 0.0031. Min Act: -0.0004

Data Index: 1532506 (Python Code)

Max Activating Token Index: 60

Text #6

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Data Index: 1455231 (Python Code)

Max Activating Token Index: 19

Text #7

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Data Index: 1654429 (Python Code)

Max Activating Token Index: 22

Text #8

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Data Index: 1632648 (Python Code)

Max Activating Token Index: 4

Text #9

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Data Index: 1543277 (Python Code)

Max Activating Token Index: 66

Text #10

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Data Index: 1602472 (Python Code)

Max Activating Token Index: 29

Text #11

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Data Index: 1584541 (Python Code)

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Text #12

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Data Index: 1435406 (Python Code)

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Text #13

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Data Index: 1507079 (Python Code)

Max Activating Token Index: 40

Text #14

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Data Index: 1526466 (Python Code)

Max Activating Token Index: 14

Text #15

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Data Index: 1481655 (Python Code)

Max Activating Token Index: 5

Text #16

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Data Index: 1379498 (Python Code)

Max Activating Token Index: 29

Text #17

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Data Index: 1553599 (Python Code)

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Text #18

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Data Index: 1482559 (Python Code)

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Text #19

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Data Index: 1402353 (Python Code)

Max Activating Token Index: 13