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

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

Neuron 2266 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: 0.0271. Min Act: -0.0001

Data Index: 808291 (C4 (Web Text))

Max Activating Token Index: 432

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Text #1

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Max Act: 0.0250. Min Act: -0.0001

Data Index: 925742 (C4 (Web Text))

Max Activating Token Index: 1011

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Truncated

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Text #2

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Data Index: 1351241 (C4 (Web Text))

Max Activating Token Index: 431

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Text #3

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Data Index: 1495453 (Python Code)

Max Activating Token Index: 70

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Text #4

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Data Index: 1127326 (C4 (Web Text))

Max Activating Token Index: 481

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Text #5

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Data Index: 1023130 (C4 (Web Text))

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Text #6

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Data Index: 736807 (C4 (Web Text))

Max Activating Token Index: 369

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Text #7

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Data Index: 1387688 (Python Code)

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Text #8

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Data Index: 46339 (C4 (Web Text))

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Text #9

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Data Index: 1209240 (C4 (Web Text))

Max Activating Token Index: 189

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Text #10

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Text #11

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Data Index: 1346129 (C4 (Web Text))

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Text #12

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Data Index: 1152743 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 711726 (C4 (Web Text))

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Text #15

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Data Index: 1600981 (Python Code)

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Text #16

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Text #17

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Data Index: 171157 (C4 (Web Text))

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Text #18

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Data Index: 268527 (C4 (Web Text))

Max Activating Token Index: 591

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Text #19

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Data Index: 510351 (C4 (Web Text))

Max Activating Token Index: 432

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