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

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

Neuron 2463 in Layer 3

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



Text #0

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Max Act: 0.8712. Min Act: -0.0001

Data Index: 215035 (C4 (Web Text))

Max Activating Token Index: 12

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Text #1

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Max Act: 0.6549. Min Act: -0.0001

Data Index: 235615 (C4 (Web Text))

Max Activating Token Index: 257

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Text #2

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Max Act: 0.6931. Min Act: -0.0001

Data Index: 703469 (C4 (Web Text))

Max Activating Token Index: 617

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Text #3

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Max Act: 0.5898. Min Act: -0.0001

Data Index: 127076 (C4 (Web Text))

Max Activating Token Index: 240

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Truncated

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Text #4

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Data Index: 433858 (C4 (Web Text))

Max Activating Token Index: 389

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Text #5

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Data Index: 1340605 (C4 (Web Text))

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Text #6

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Data Index: 1093014 (C4 (Web Text))

Max Activating Token Index: 209

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Text #7

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Data Index: 900868 (C4 (Web Text))

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Text #8

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Data Index: 1358556 (C4 (Web Text))

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Text #9

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Data Index: 399986 (C4 (Web Text))

Max Activating Token Index: 62

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Text #10

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Data Index: 498969 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 474446 (C4 (Web Text))

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Text #13

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Data Index: 1152821 (C4 (Web Text))

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Text #14

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Data Index: 1449739 (Python Code)

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Text #15

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Data Index: 1388051 (Python Code)

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Text #16

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Data Index: 1482959 (Python Code)

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Text #17

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Data Index: 769691 (C4 (Web Text))

Max Activating Token Index: 191

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Text #18

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Data Index: 1149873 (C4 (Web Text))

Max Activating Token Index: 259

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Truncated

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Text #19

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Data Index: 1035186 (C4 (Web Text))

Max Activating Token Index: 364

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