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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1934 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0444. Min Act: -0.0004

Data Index: 1369928 (Python Code)

Max Activating Token Index: 146

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Text #1

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Data Index: 1649631 (Python Code)

Max Activating Token Index: 770

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Text #2

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Data Index: 1541205 (Python Code)

Max Activating Token Index: 786

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Text #3

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Data Index: 1507981 (Python Code)

Max Activating Token Index: 399

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Text #4

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Data Index: 1361859 (Python Code)

Max Activating Token Index: 808

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Text #5

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Data Index: 1383361 (Python Code)

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Data Index: 1476051 (Python Code)

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Text #7

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Data Index: 1440555 (Python Code)

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Text #8

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Data Index: 1524995 (Python Code)

Max Activating Token Index: 264

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Text #9

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Data Index: 1489950 (Python Code)

Max Activating Token Index: 355

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Text #10

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Data Index: 1653826 (Python Code)

Max Activating Token Index: 40

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Text #11

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Data Index: 1464846 (Python Code)

Max Activating Token Index: 77

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 77

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Text #18

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Text #19

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Data Index: 1447210 (Python Code)

Max Activating Token Index: 223

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