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

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

Neuron 1642 in Layer 1

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

Text #0

Max Range: 0.0484. Min Range: -0.0484

Max Act: 0.0484. Min Act: -0.0003

Data Index: 1410854 (Python Code)

Max Activating Token Index: 342

Text #1

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 1422442 (Python Code)

Max Activating Token Index: 373

Text #2

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 1650770 (Python Code)

Max Activating Token Index: 261

Text #3

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 1470859 (Python Code)

Max Activating Token Index: 592

Text #4

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 1390120 (Python Code)

Max Activating Token Index: 276

Text #5

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 1399761 (Python Code)

Max Activating Token Index: 579

Text #6

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Data Index: 1446318 (Python Code)

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Text #7

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Data Index: 1508842 (Python Code)

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Text #8

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Data Index: 1511829 (Python Code)

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Text #9

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 1382190 (Python Code)

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Text #10

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Data Index: 1454415 (Python Code)

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Text #11

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Data Index: 1629806 (Python Code)

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Text #12

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Data Index: 1600710 (Python Code)

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Text #13

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Data Index: 1360114 (Python Code)

Max Activating Token Index: 507

Text #14

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Data Index: 1593581 (Python Code)

Max Activating Token Index: 351

Text #15

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Data Index: 1613954 (Python Code)

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Text #16

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Data Index: 1421040 (Python Code)

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Text #17

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Data Index: 1424758 (Python Code)

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Text #18

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Data Index: 1442214 (Python Code)

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Text #19

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1538201 (Python Code)

Max Activating Token Index: 73