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

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

Neuron 924 in Layer 1

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

Text #0

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 1613969 (Python Code)

Max Activating Token Index: 342

Text #1

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Max Act: 0.0322. Min Act: -0.0003

Data Index: 1628932 (Python Code)

Max Activating Token Index: 285

Text #2

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Max Act: 0.0337. Min Act: -0.0003

Data Index: 1600909 (Python Code)

Max Activating Token Index: 325

Text #3

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Max Act: 0.0324. Min Act: -0.0003

Data Index: 1373127 (Python Code)

Max Activating Token Index: 191

Text #4

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 1595710 (Python Code)

Max Activating Token Index: 368

Text #5

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1487700 (Python Code)

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Text #6

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Data Index: 1642858 (Python Code)

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Text #7

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Data Index: 1494330 (Python Code)

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Text #8

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Data Index: 1547866 (Python Code)

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Text #9

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Data Index: 1556643 (Python Code)

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Text #10

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Data Index: 1533568 (Python Code)

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Text #11

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Data Index: 1538633 (Python Code)

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Text #12

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Data Index: 1533340 (Python Code)

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Text #13

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Data Index: 1457745 (Python Code)

Max Activating Token Index: 338

Text #14

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Data Index: 1385432 (Python Code)

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Text #15

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Data Index: 1481257 (Python Code)

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Text #16

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Data Index: 1588374 (Python Code)

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Text #17

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Data Index: 1655178 (Python Code)

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Text #18

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Data Index: 1537031 (Python Code)

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Text #19

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Data Index: 1536966 (Python Code)

Max Activating Token Index: 239