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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 203 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 1477170 (Python Code)

Max Activating Token Index: 65

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Text #1

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Max Act: 0.0205. Min Act: -0.0003

Data Index: 1367496 (Python Code)

Max Activating Token Index: 291

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Text #2

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Max Act: 0.0204. Min Act: -0.0003

Data Index: 1389018 (Python Code)

Max Activating Token Index: 161

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Text #3

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1532871 (Python Code)

Max Activating Token Index: 423

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Text #4

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Data Index: 1450431 (Python Code)

Max Activating Token Index: 220

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Text #5

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Data Index: 1454352 (Python Code)

Max Activating Token Index: 605

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Data Index: 1425030 (Python Code)

Max Activating Token Index: 58

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Text #7

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Data Index: 1513473 (Python Code)

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Text #8

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Data Index: 1588531 (Python Code)

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Text #9

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Data Index: 1421480 (Python Code)

Max Activating Token Index: 545

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Text #10

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Data Index: 1638316 (Python Code)

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Text #11

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Data Index: 1396639 (Python Code)

Max Activating Token Index: 495

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Text #12

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Data Index: 1565511 (Python Code)

Max Activating Token Index: 814

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Text #13

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Data Index: 1567079 (Python Code)

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Text #14

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Data Index: 1618130 (Python Code)

Max Activating Token Index: 799

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Text #15

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Data Index: 1571984 (Python Code)

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Text #16

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Data Index: 1574271 (Python Code)

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Text #17

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Data Index: 1383116 (Python Code)

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Text #18

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Data Index: 1519307 (Python Code)

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Text #19

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Data Index: 1651608 (Python Code)

Max Activating Token Index: 471

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