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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 35 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.1379. Min Act: -0.0001

Data Index: 14653 (C4 (Web Text))

Max Activating Token Index: 496

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Truncated

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Text #1

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Max Act: 0.1112. Min Act: -0.0001

Data Index: 1084498 (C4 (Web Text))

Max Activating Token Index: 208

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Truncated

Full Text #1


Text #2

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Max Act: 0.0959. Min Act: -0.0001

Data Index: 981608 (C4 (Web Text))

Max Activating Token Index: 322

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Truncated

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Text #3

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Max Act: 0.0901. Min Act: -0.0001

Data Index: 96757 (C4 (Web Text))

Max Activating Token Index: 448

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Truncated

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Text #4

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Data Index: 1099631 (C4 (Web Text))

Max Activating Token Index: 335

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Truncated

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Text #5

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Data Index: 38136 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 1104032 (C4 (Web Text))

Max Activating Token Index: 452

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Truncated

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Text #7

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Data Index: 1164407 (C4 (Web Text))

Max Activating Token Index: 340

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Truncated

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Text #8

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Data Index: 445616 (C4 (Web Text))

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Truncated

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Text #9

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Data Index: 440641 (C4 (Web Text))

Max Activating Token Index: 660

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Truncated

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Text #10

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Data Index: 443559 (C4 (Web Text))

Max Activating Token Index: 39

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 862603 (C4 (Web Text))

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Truncated

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Text #13

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Truncated

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Text #14

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Truncated

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Text #15

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Data Index: 465757 (C4 (Web Text))

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Truncated

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Text #16

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Data Index: 473233 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 1260519 (C4 (Web Text))

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Text #18

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Data Index: 821714 (C4 (Web Text))

Max Activating Token Index: 489

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Truncated

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Text #19

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Data Index: 189352 (C4 (Web Text))

Max Activating Token Index: 365

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