Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2100 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.3247. Min Act: -0.0001

Data Index: 1590337 (Python Code)

Max Activating Token Index: 62

Text #1

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Max Act: 0.3177. Min Act: -0.0001

Data Index: 1423781 (Python Code)

Max Activating Token Index: 76

Text #2

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Data Index: 1613846 (Python Code)

Max Activating Token Index: 199

Text #3

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Max Act: 0.3046. Min Act: -0.0001

Data Index: 1418695 (Python Code)

Max Activating Token Index: 39

Text #4

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Data Index: 1635861 (Python Code)

Max Activating Token Index: 112

Text #5

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Data Index: 1645248 (Python Code)

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Text #6

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Data Index: 1393833 (Python Code)

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Text #7

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Data Index: 1642583 (Python Code)

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Text #8

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Data Index: 1457848 (Python Code)

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Text #9

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Data Index: 1517613 (Python Code)

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Text #10

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Data Index: 1538892 (Python Code)

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Text #11

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Data Index: 1504756 (Python Code)

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Text #12

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Data Index: 1442608 (Python Code)

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Text #13

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Data Index: 1506211 (Python Code)

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Text #14

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Data Index: 1451769 (Python Code)

Max Activating Token Index: 428

Text #15

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Data Index: 1482797 (Python Code)

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Text #16

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Data Index: 1409053 (Python Code)

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Text #17

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Data Index: 1523631 (Python Code)

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Text #18

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Data Index: 1408320 (Python Code)

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Text #19

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Data Index: 1373285 (Python Code)

Max Activating Token Index: 435