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

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

Neuron 3853 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: 1.5597. Min Act: -0.0001

Data Index: 164229 (C4 (Web Text))

Max Activating Token Index: 72

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Text #1

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Max Act: 1.6132. Min Act: -0.0001

Data Index: 963676 (C4 (Web Text))

Max Activating Token Index: 668

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Text #2

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Max Act: 1.5140. Min Act: -0.0001

Data Index: 784756 (C4 (Web Text))

Max Activating Token Index: 711

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Text #3

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Max Act: 1.4244. Min Act: -0.0001

Data Index: 158039 (C4 (Web Text))

Max Activating Token Index: 862

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Text #4

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Max Act: 1.4611. Min Act: -0.0001

Data Index: 355626 (C4 (Web Text))

Max Activating Token Index: 167

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Text #5

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Data Index: 101481 (C4 (Web Text))

Max Activating Token Index: 2

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Text #6

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Data Index: 510287 (C4 (Web Text))

Max Activating Token Index: 55

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Text #7

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Data Index: 892631 (C4 (Web Text))

Max Activating Token Index: 830

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Text #8

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Data Index: 897907 (C4 (Web Text))

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Text #9

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Data Index: 588480 (C4 (Web Text))

Max Activating Token Index: 56

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Text #10

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Data Index: 269873 (C4 (Web Text))

Max Activating Token Index: 805

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Text #11

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Text #12

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Data Index: 922863 (C4 (Web Text))

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Text #13

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Data Index: 693734 (C4 (Web Text))

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Text #14

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Data Index: 1177955 (C4 (Web Text))

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Text #15

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Data Index: 1182484 (C4 (Web Text))

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Text #16

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Data Index: 496702 (C4 (Web Text))

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Text #17

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Data Index: 1591958 (Python Code)

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Text #18

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Data Index: 1363437 (Python Code)

Max Activating Token Index: 13

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Text #19

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Max Act: 1.1037. Min Act: -0.0001

Data Index: 164461 (C4 (Web Text))

Max Activating Token Index: 998

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