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

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

Neuron 1158 in Layer 1

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

Text #0

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1382997 (Python Code)

Max Activating Token Index: 970

Text #1

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Max Act: 0.0285. Min Act: -0.0006

Data Index: 1492056 (Python Code)

Max Activating Token Index: 977

Text #2

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 1388406 (Python Code)

Max Activating Token Index: 852

Text #3

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 348235 (C4 (Web Text))

Max Activating Token Index: 924

Text #4

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Data Index: 1360693 (Python Code)

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Text #5

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Data Index: 983442 (C4 (Web Text))

Max Activating Token Index: 634

Text #6

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Data Index: 420618 (C4 (Web Text))

Max Activating Token Index: 496

Text #7

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Data Index: 1643548 (Python Code)

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Text #8

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Data Index: 1487796 (Python Code)

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Text #9

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Data Index: 1533185 (Python Code)

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Text #10

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Data Index: 1550921 (Python Code)

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Text #11

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Data Index: 1571757 (Python Code)

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Text #12

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Data Index: 1457397 (Python Code)

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Text #13

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Data Index: 1621918 (Python Code)

Max Activating Token Index: 526

Text #14

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Data Index: 1566762 (Python Code)

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Text #15

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Data Index: 1509660 (Python Code)

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Text #16

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Data Index: 1434980 (Python Code)

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Text #17

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Data Index: 1498721 (Python Code)

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Text #18

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Data Index: 717911 (C4 (Web Text))

Max Activating Token Index: 167

Text #19

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Data Index: 1434802 (Python Code)

Max Activating Token Index: 808