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

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

Neuron 1852 in Layer 1

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

Text #0

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Max Act: 0.0448. Min Act: -0.0003

Data Index: 1370439 (Python Code)

Max Activating Token Index: 146

Text #1

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 1581501 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 1622318 (Python Code)

Max Activating Token Index: 637

Text #3

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1206818 (C4 (Web Text))

Max Activating Token Index: 1009

Text #4

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 998444 (C4 (Web Text))

Max Activating Token Index: 267

Text #5

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Data Index: 181082 (C4 (Web Text))

Max Activating Token Index: 953

Text #6

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Data Index: 1456166 (Python Code)

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Text #7

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Data Index: 1371952 (Python Code)

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Text #8

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Max Activating Token Index: 706

Text #9

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Data Index: 386371 (C4 (Web Text))

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Text #10

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Data Index: 1437765 (Python Code)

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Text #11

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Data Index: 1412345 (Python Code)

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Text #12

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Data Index: 1653222 (Python Code)

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Text #13

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Data Index: 1460108 (Python Code)

Max Activating Token Index: 574

Text #14

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Data Index: 395805 (C4 (Web Text))

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Text #15

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Data Index: 1420256 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1563944 (Python Code)

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Text #19

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Max Act: 0.0285. Min Act: -0.0003

Data Index: 1570095 (Python Code)

Max Activating Token Index: 777