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

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

Neuron 693 in Layer 3

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



Text #0

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Max Act: 0.0772. Min Act: -0.0001

Data Index: 74880 (C4 (Web Text))

Max Activating Token Index: 147

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Truncated

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Text #1

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Data Index: 466486 (C4 (Web Text))

Max Activating Token Index: 32

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Truncated

Full Text #1


Text #2

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Data Index: 33250 (C4 (Web Text))

Max Activating Token Index: 12

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Text #3

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Max Act: 0.0669. Min Act: -0.0001

Data Index: 263621 (C4 (Web Text))

Max Activating Token Index: 142

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Truncated

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Text #4

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Data Index: 1386957 (Python Code)

Max Activating Token Index: 211

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Truncated

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Text #5

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Data Index: 1578015 (Python Code)

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Text #6

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Data Index: 635306 (C4 (Web Text))

Max Activating Token Index: 824

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Text #7

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Data Index: 471439 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 213257 (C4 (Web Text))

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Text #9

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Data Index: 387127 (C4 (Web Text))

Max Activating Token Index: 510

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Truncated

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Text #13

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Truncated

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Text #14

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Text #15

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Data Index: 175526 (C4 (Web Text))

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Truncated

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Text #16

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Truncated

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Text #17

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Data Index: 684119 (C4 (Web Text))

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Text #18

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Data Index: 1347146 (C4 (Web Text))

Max Activating Token Index: 598

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Truncated

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Text #19

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Data Index: 1162384 (C4 (Web Text))

Max Activating Token Index: 184

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