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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 669 in Layer 8

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

Max Range: 0.3474. Min Range: -0.3474

Max Act: 0.3474. Min Act: -0.0000

Data Index: 435511 (C4 (Web Text))

Max Activating Token Index: 216

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Text #1

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Max Act: 0.3230. Min Act: -0.0000

Data Index: 1458199 (Python Code)

Max Activating Token Index: 346

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Text #2

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Max Act: 0.3117. Min Act: -0.0000

Data Index: 1599660 (Python Code)

Max Activating Token Index: 206

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Text #3

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Max Act: 0.3075. Min Act: -0.0000

Data Index: 351009 (C4 (Web Text))

Max Activating Token Index: 567

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Text #4

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Max Act: 0.3168. Min Act: -0.0000

Data Index: 243564 (C4 (Web Text))

Max Activating Token Index: 49

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Text #5

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Max Act: 0.3048. Min Act: -0.0000

Data Index: 803056 (C4 (Web Text))

Max Activating Token Index: 446

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Text #6

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Data Index: 1441753 (Python Code)

Max Activating Token Index: 382

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Text #7

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Data Index: 1546438 (Python Code)

Max Activating Token Index: 728

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Text #8

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Data Index: 1639435 (Python Code)

Max Activating Token Index: 214

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Text #9

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Data Index: 1448362 (Python Code)

Max Activating Token Index: 242

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Text #10

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Data Index: 1531825 (Python Code)

Max Activating Token Index: 750

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Text #11

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Max Act: 0.3049. Min Act: -0.0000

Data Index: 1495294 (Python Code)

Max Activating Token Index: 388

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Text #12

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Data Index: 1587614 (Python Code)

Max Activating Token Index: 303

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Text #13

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Data Index: 1441896 (Python Code)

Max Activating Token Index: 385

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Text #14

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Data Index: 1547655 (Python Code)

Max Activating Token Index: 77

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Text #15

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Data Index: 606168 (C4 (Web Text))

Max Activating Token Index: 374

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Text #16

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Max Act: 0.2951. Min Act: -0.0000

Data Index: 1361739 (Python Code)

Max Activating Token Index: 317

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Text #17

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Max Act: 0.2742. Min Act: -0.0000

Data Index: 1630061 (Python Code)

Max Activating Token Index: 710

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Text #18

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Max Act: 0.2944. Min Act: -0.0000

Data Index: 1510745 (Python Code)

Max Activating Token Index: 548

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Text #19

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Max Act: 0.2930. Min Act: -0.0000

Data Index: 1657075 (Python Code)

Max Activating Token Index: 391

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