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

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

Neuron 788 in Layer 1

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

Text #0

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Max Act: 0.0202. Min Act: -0.0006

Data Index: 1573374 (Python Code)

Max Activating Token Index: 417

Text #1

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 1388540 (Python Code)

Max Activating Token Index: 613

Text #2

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Max Act: 0.0186. Min Act: -0.0006

Data Index: 1393198 (Python Code)

Max Activating Token Index: 473

Text #3

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Max Act: 0.0164. Min Act: -0.0006

Data Index: 1602945 (Python Code)

Max Activating Token Index: 518

Text #4

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Max Act: 0.0163. Min Act: -0.0006

Data Index: 1407828 (Python Code)

Max Activating Token Index: 634

Text #5

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Data Index: 1448014 (Python Code)

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Text #6

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Data Index: 1621480 (Python Code)

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Text #7

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Data Index: 1584512 (Python Code)

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Text #8

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Data Index: 1489009 (Python Code)

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Text #9

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Data Index: 1395140 (Python Code)

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Text #10

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Data Index: 1636724 (Python Code)

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Text #11

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Data Index: 1506018 (Python Code)

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Text #12

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Data Index: 1605186 (Python Code)

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Text #13

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Data Index: 1562788 (Python Code)

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Text #14

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Data Index: 1398493 (Python Code)

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Text #15

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Data Index: 1499748 (Python Code)

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Text #16

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Data Index: 1421845 (Python Code)

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Text #17

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Data Index: 1420631 (Python Code)

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Text #18

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Data Index: 1395333 (Python Code)

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Text #19

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Data Index: 1605109 (Python Code)

Max Activating Token Index: 633