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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1838 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0109. Min Act: -0.0005

Data Index: 1430523 (Python Code)

Max Activating Token Index: 442

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Text #1

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1546310 (Python Code)

Max Activating Token Index: 462

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Text #2

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Max Act: 0.0105. Min Act: -0.0005

Data Index: 1628359 (Python Code)

Max Activating Token Index: 596

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Text #3

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 896327 (C4 (Web Text))

Max Activating Token Index: 769

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Text #4

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Data Index: 1429678 (Python Code)

Max Activating Token Index: 485

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Text #5

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Data Index: 1492293 (Python Code)

Max Activating Token Index: 1014

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Text #6

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Data Index: 1465428 (Python Code)

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Text #7

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Data Index: 509274 (C4 (Web Text))

Max Activating Token Index: 254

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Text #8

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Data Index: 1432829 (Python Code)

Max Activating Token Index: 504

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Text #9

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Data Index: 1566270 (Python Code)

Max Activating Token Index: 951

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Text #10

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Data Index: 1462442 (Python Code)

Max Activating Token Index: 920

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Text #11

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Data Index: 1010061 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #12

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Data Index: 1464639 (Python Code)

Max Activating Token Index: 661

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Text #13

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Data Index: 1547066 (Python Code)

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Text #14

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Data Index: 1570353 (Python Code)

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Text #15

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Data Index: 1418278 (Python Code)

Max Activating Token Index: 854

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Text #16

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Data Index: 1488431 (Python Code)

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Text #17

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Data Index: 1482461 (Python Code)

Max Activating Token Index: 483

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Text #18

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Max Act: 0.0098. Min Act: -0.0006

Data Index: 1008373 (C4 (Web Text))

Max Activating Token Index: 143

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Text #19

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Max Act: 0.0094. Min Act: -0.0006

Data Index: 871512 (C4 (Web Text))

Max Activating Token Index: 226

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