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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3045 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.1876. Min Act: -0.0001

Data Index: 885863 (C4 (Web Text))

Max Activating Token Index: 76

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Truncated

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Text #1

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Data Index: 337664 (C4 (Web Text))

Max Activating Token Index: 196

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Truncated

Full Text #1


Text #2

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Max Act: 0.1856. Min Act: -0.0001

Data Index: 468917 (C4 (Web Text))

Max Activating Token Index: 230

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Truncated

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Text #3

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Data Index: 901770 (C4 (Web Text))

Max Activating Token Index: 400

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Truncated

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Text #4

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Data Index: 1035459 (C4 (Web Text))

Max Activating Token Index: 33

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Truncated

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Text #5

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Data Index: 669099 (C4 (Web Text))

Max Activating Token Index: 920

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Truncated

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Text #6

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Data Index: 1251805 (C4 (Web Text))

Max Activating Token Index: 767

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Truncated

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Text #7

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Data Index: 579506 (C4 (Web Text))

Max Activating Token Index: 759

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Truncated

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Text #8

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Data Index: 967648 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #9

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Data Index: 1175102 (C4 (Web Text))

Max Activating Token Index: 479

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Truncated

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Text #10

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Data Index: 803416 (C4 (Web Text))

Max Activating Token Index: 908

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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: 309069 (C4 (Web Text))

Max Activating Token Index: 853

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Text #13

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Data Index: 980116 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 394853 (C4 (Web Text))

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Text #15

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Data Index: 382086 (C4 (Web Text))

Max Activating Token Index: 129

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Text #16

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Data Index: 258983 (C4 (Web Text))

Max Activating Token Index: 160

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Truncated

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Text #17

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Max Act: 0.1456. Min Act: -0.0001

Data Index: 1078859 (C4 (Web Text))

Max Activating Token Index: 177

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Text #18

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Max Act: 0.1441. Min Act: -0.0001

Data Index: 862344 (C4 (Web Text))

Max Activating Token Index: 89

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Text #19

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Data Index: 1073859 (C4 (Web Text))

Max Activating Token Index: 473

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