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

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

Neuron 2596 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 1.2103. Min Act: -0.0001

Data Index: 1405842 (Python Code)

Max Activating Token Index: 82

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Text #1

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Max Act: 1.1177. Min Act: -0.0001

Data Index: 1559399 (Python Code)

Max Activating Token Index: 449

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Text #2

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Max Act: 0.9017. Min Act: -0.0001

Data Index: 400238 (C4 (Web Text))

Max Activating Token Index: 562

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Text #3

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Max Act: 0.9051. Min Act: -0.0001

Data Index: 663901 (C4 (Web Text))

Max Activating Token Index: 52

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Text #4

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Max Act: 0.9517. Min Act: -0.0001

Data Index: 898305 (C4 (Web Text))

Max Activating Token Index: 520

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Text #5

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Data Index: 497963 (C4 (Web Text))

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Text #6

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Data Index: 375503 (C4 (Web Text))

Max Activating Token Index: 144

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Text #7

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Data Index: 1240475 (C4 (Web Text))

Max Activating Token Index: 134

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Text #8

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Data Index: 294467 (C4 (Web Text))

Max Activating Token Index: 328

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Text #9

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Data Index: 926571 (C4 (Web Text))

Max Activating Token Index: 20

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Text #10

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Data Index: 302731 (C4 (Web Text))

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Text #11

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Data Index: 759832 (C4 (Web Text))

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Text #12

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Data Index: 1139818 (C4 (Web Text))

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Text #13

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Data Index: 1272618 (C4 (Web Text))

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Text #14

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Data Index: 1351947 (C4 (Web Text))

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Text #15

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Data Index: 617884 (C4 (Web Text))

Max Activating Token Index: 473

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Text #16

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Data Index: 496430 (C4 (Web Text))

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Text #17

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Max Act: 0.7143. Min Act: -0.0001

Data Index: 522795 (C4 (Web Text))

Max Activating Token Index: 195

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Text #18

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Data Index: 857564 (C4 (Web Text))

Max Activating Token Index: 60

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Text #19

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Data Index: 1159172 (C4 (Web Text))

Max Activating Token Index: 769

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