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

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

Neuron 2708 in Layer 5

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: 0.0461. Min Act: -0.0000

Data Index: 1338657 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #1

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Max Act: 0.0448. Min Act: -0.0000

Data Index: 134148 (C4 (Web Text))

Max Activating Token Index: 222

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Truncated

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Text #2

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Max Act: 0.0426. Min Act: -0.0000

Data Index: 111172 (C4 (Web Text))

Max Activating Token Index: 277

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Text #3

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Max Act: 0.0396. Min Act: -0.0000

Data Index: 1583677 (Python Code)

Max Activating Token Index: 962

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Truncated

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Text #4

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Max Act: 0.0420. Min Act: -0.0000

Data Index: 748044 (C4 (Web Text))

Max Activating Token Index: 318

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Truncated

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Text #5

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Data Index: 811429 (C4 (Web Text))

Max Activating Token Index: 619

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Text #6

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Data Index: 868086 (C4 (Web Text))

Max Activating Token Index: 841

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Text #7

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Data Index: 361802 (C4 (Web Text))

Max Activating Token Index: 113

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Truncated

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Text #8

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Data Index: 476593 (C4 (Web Text))

Max Activating Token Index: 98

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Text #9

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Data Index: 60044 (C4 (Web Text))

Max Activating Token Index: 318

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Text #10

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Data Index: 360553 (C4 (Web Text))

Max Activating Token Index: 978

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Text #11

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Data Index: 1350090 (C4 (Web Text))

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Text #12

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Data Index: 623221 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #13

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Data Index: 1028199 (C4 (Web Text))

Max Activating Token Index: 778

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Text #14

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Data Index: 521884 (C4 (Web Text))

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Text #15

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Data Index: 1459654 (Python Code)

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Text #16

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Data Index: 1014438 (C4 (Web Text))

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Text #17

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Data Index: 349564 (C4 (Web Text))

Max Activating Token Index: 295

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Text #18

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Data Index: 665371 (C4 (Web Text))

Max Activating Token Index: 479

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Text #19

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Data Index: 1485195 (Python Code)

Max Activating Token Index: 617

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