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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 818 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.5102. Min Act: -0.0001

Data Index: 728635 (C4 (Web Text))

Max Activating Token Index: 493

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Text #1

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Max Act: 0.5306. Min Act: -0.0001

Data Index: 1135553 (C4 (Web Text))

Max Activating Token Index: 535

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Text #2

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Max Act: 0.4873. Min Act: -0.0001

Data Index: 1108660 (C4 (Web Text))

Max Activating Token Index: 961

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Text #3

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Max Act: 0.4771. Min Act: -0.0001

Data Index: 354679 (C4 (Web Text))

Max Activating Token Index: 415

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Text #4

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Max Act: 0.4575. Min Act: -0.0001

Data Index: 582093 (C4 (Web Text))

Max Activating Token Index: 961

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Text #5

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Max Act: 0.4546. Min Act: -0.0001

Data Index: 341003 (C4 (Web Text))

Max Activating Token Index: 36

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Text #6

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Data Index: 1074440 (C4 (Web Text))

Max Activating Token Index: 995

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Text #7

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Data Index: 1136774 (C4 (Web Text))

Max Activating Token Index: 160

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Text #8

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Data Index: 1646031 (Python Code)

Max Activating Token Index: 236

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Text #9

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Data Index: 266424 (C4 (Web Text))

Max Activating Token Index: 343

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Text #10

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Data Index: 775104 (C4 (Web Text))

Max Activating Token Index: 602

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Text #11

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Data Index: 1434631 (Python Code)

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Text #12

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Data Index: 107427 (C4 (Web Text))

Max Activating Token Index: 974

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Text #13

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Data Index: 792632 (C4 (Web Text))

Max Activating Token Index: 471

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Text #14

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Data Index: 427167 (C4 (Web Text))

Max Activating Token Index: 958

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Text #15

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Data Index: 1425606 (Python Code)

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Text #16

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Data Index: 1096996 (C4 (Web Text))

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Text #17

Max Range: 0.5306. Min Range: -0.5306

Max Act: 0.3976. Min Act: -0.0000

Data Index: 419243 (C4 (Web Text))

Max Activating Token Index: 335

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Text #18

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Max Act: 0.3673. Min Act: -0.0001

Data Index: 228916 (C4 (Web Text))

Max Activating Token Index: 875

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Text #19

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Max Act: 0.4182. Min Act: -0.0001

Data Index: 656039 (C4 (Web Text))

Max Activating Token Index: 573

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