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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 686 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0489. Min Act: -0.0000

Data Index: 1350919 (C4 (Web Text))

Max Activating Token Index: 469

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Truncated

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Text #1

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Max Act: 0.0468. Min Act: -0.0000

Data Index: 1207059 (C4 (Web Text))

Max Activating Token Index: 537

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Truncated

Full Text #1


Text #2

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Max Act: 0.0469. Min Act: -0.0000

Data Index: 290636 (C4 (Web Text))

Max Activating Token Index: 782

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Truncated

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Text #3

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Max Act: 0.0467. Min Act: -0.0000

Data Index: 299806 (C4 (Web Text))

Max Activating Token Index: 17

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Truncated

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Text #4

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Data Index: 728429 (C4 (Web Text))

Max Activating Token Index: 14

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Truncated

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Text #5

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Data Index: 439448 (C4 (Web Text))

Max Activating Token Index: 371

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Truncated

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Text #6

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Data Index: 146488 (C4 (Web Text))

Max Activating Token Index: 12

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Truncated

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Text #7

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Data Index: 659421 (C4 (Web Text))

Max Activating Token Index: 530

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Truncated

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Text #8

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Data Index: 1481929 (Python Code)

Max Activating Token Index: 63

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Text #9

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Data Index: 1107541 (C4 (Web Text))

Max Activating Token Index: 17

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Truncated

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Text #10

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Data Index: 1243312 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 746310 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1179980 (C4 (Web Text))

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Truncated

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Text #13

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Data Index: 967683 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 427641 (C4 (Web Text))

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Truncated

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Text #15

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Data Index: 380844 (C4 (Web Text))

Max Activating Token Index: 12

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Truncated

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Text #16

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Data Index: 1648993 (Python Code)

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Truncated

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Text #17

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Data Index: 132568 (C4 (Web Text))

Max Activating Token Index: 104

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Truncated

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Text #18

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Max Act: 0.0390. Min Act: -0.0000

Data Index: 1101825 (C4 (Web Text))

Max Activating Token Index: 971

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Truncated

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Text #19

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Data Index: 1210078 (C4 (Web Text))

Max Activating Token Index: 242

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