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

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

Neuron 411 in Layer 0

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

Text #0

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Max Act: 0.0113. Min Act: -0.0005

Data Index: 1532617 (Python Code)

Max Activating Token Index: 919

Text #1

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Data Index: 1527844 (Python Code)

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Text #2

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Data Index: 1539299 (Python Code)

Max Activating Token Index: 638

Text #3

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Max Act: 0.0105. Min Act: -0.0005

Data Index: 1428536 (Python Code)

Max Activating Token Index: 425

Text #4

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 1600655 (Python Code)

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Text #5

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Data Index: 1438477 (Python Code)

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Text #6

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Data Index: 1566935 (Python Code)

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Text #7

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Data Index: 1374089 (Python Code)

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Text #8

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Data Index: 1558828 (Python Code)

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Text #9

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Data Index: 1457447 (Python Code)

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Text #10

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Data Index: 1369096 (Python Code)

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Text #11

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Data Index: 1370470 (Python Code)

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Text #12

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Data Index: 1582961 (Python Code)

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Text #13

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Data Index: 1402525 (Python Code)

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Text #14

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Data Index: 1524546 (Python Code)

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Text #15

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Data Index: 1536936 (Python Code)

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Text #16

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Data Index: 1556382 (Python Code)

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Text #17

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Data Index: 1620179 (Python Code)

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Text #18

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Data Index: 1614927 (Python Code)

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Text #19

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Data Index: 1420056 (Python Code)

Max Activating Token Index: 1001