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

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

Neuron 1960 in Layer 2

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: 0.0348. Min Act: -0.0002

Data Index: 1204851 (C4 (Web Text))

Max Activating Token Index: 400

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Text #1

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Data Index: 720881 (C4 (Web Text))

Max Activating Token Index: 251

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Text #2

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1247201 (C4 (Web Text))

Max Activating Token Index: 114

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Text #3

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Data Index: 932584 (C4 (Web Text))

Max Activating Token Index: 76

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Text #4

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Data Index: 1586612 (Python Code)

Max Activating Token Index: 729

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Text #5

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Data Index: 727231 (C4 (Web Text))

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Text #6

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Data Index: 294647 (C4 (Web Text))

Max Activating Token Index: 926

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Text #7

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Data Index: 1076257 (C4 (Web Text))

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Text #8

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Data Index: 1026415 (C4 (Web Text))

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Text #9

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Data Index: 613920 (C4 (Web Text))

Max Activating Token Index: 415

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Text #10

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Data Index: 1183051 (C4 (Web Text))

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Text #11

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Data Index: 136852 (C4 (Web Text))

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Text #12

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Data Index: 322303 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 687759 (C4 (Web Text))

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Text #15

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Data Index: 57416 (C4 (Web Text))

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Text #16

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Data Index: 1566527 (Python Code)

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Text #17

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 996145 (C4 (Web Text))

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Text #18

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 1275652 (C4 (Web Text))

Max Activating Token Index: 483

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Text #19

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Max Act: 0.0273. Min Act: -0.0002

Data Index: 143263 (C4 (Web Text))

Max Activating Token Index: 163

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