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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4094 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 1414601 (Python Code)

Max Activating Token Index: 332

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Text #1

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1442693 (Python Code)

Max Activating Token Index: 442

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Text #2

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 1578649 (Python Code)

Max Activating Token Index: 419

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Text #3

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 994004 (C4 (Web Text))

Max Activating Token Index: 157

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Text #4

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Max Act: 0.0238. Min Act: -0.0002

Data Index: 1572568 (Python Code)

Max Activating Token Index: 313

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Text #5

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Data Index: 1596105 (Python Code)

Max Activating Token Index: 367

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Text #6

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Data Index: 1426989 (Python Code)

Max Activating Token Index: 367

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Text #7

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Data Index: 1522536 (Python Code)

Max Activating Token Index: 272

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Text #8

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Data Index: 1391562 (Python Code)

Max Activating Token Index: 293

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Text #9

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Data Index: 1504079 (Python Code)

Max Activating Token Index: 293

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Text #10

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Data Index: 1394043 (Python Code)

Max Activating Token Index: 176

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Text #11

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Data Index: 1443271 (Python Code)

Max Activating Token Index: 463

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Text #12

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Data Index: 1578983 (Python Code)

Max Activating Token Index: 206

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Text #13

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Data Index: 1482574 (Python Code)

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Text #14

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Data Index: 1516889 (Python Code)

Max Activating Token Index: 375

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Text #15

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Data Index: 1495804 (Python Code)

Max Activating Token Index: 431

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Text #16

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Data Index: 1434987 (Python Code)

Max Activating Token Index: 295

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Text #17

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Data Index: 1579511 (Python Code)

Max Activating Token Index: 287

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Text #18

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Data Index: 1636355 (Python Code)

Max Activating Token Index: 492

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Text #19

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Max Act: 0.0229. Min Act: -0.0002

Data Index: 1480379 (Python Code)

Max Activating Token Index: 290

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