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

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

Neuron 1806 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: 0.1176. Min Act: -0.0001

Data Index: 448345 (C4 (Web Text))

Max Activating Token Index: 18

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Text #1

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Max Act: 0.1138. Min Act: -0.0001

Data Index: 64998 (C4 (Web Text))

Max Activating Token Index: 164

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Truncated

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Text #2

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Max Act: 0.1042. Min Act: -0.0001

Data Index: 1600498 (Python Code)

Max Activating Token Index: 523

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Text #3

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Max Act: 0.1089. Min Act: -0.0001

Data Index: 864651 (C4 (Web Text))

Max Activating Token Index: 191

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Truncated

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Text #4

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Max Act: 0.1083. Min Act: -0.0001

Data Index: 1625004 (Python Code)

Max Activating Token Index: 193

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Truncated

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Text #5

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Data Index: 691363 (C4 (Web Text))

Max Activating Token Index: 906

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Text #6

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Data Index: 328618 (C4 (Web Text))

Max Activating Token Index: 766

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Text #7

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Data Index: 5988 (C4 (Web Text))

Max Activating Token Index: 450

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Truncated

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Text #8

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Data Index: 521080 (C4 (Web Text))

Max Activating Token Index: 869

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Text #9

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Data Index: 1194844 (C4 (Web Text))

Max Activating Token Index: 669

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Truncated

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Text #10

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Data Index: 868383 (C4 (Web Text))

Max Activating Token Index: 848

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Text #11

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Data Index: 435769 (C4 (Web Text))

Max Activating Token Index: 774

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Text #12

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Data Index: 1357104 (C4 (Web Text))

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Text #13

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Data Index: 1171198 (C4 (Web Text))

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Text #14

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Data Index: 462643 (C4 (Web Text))

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Text #15

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Data Index: 6922 (C4 (Web Text))

Max Activating Token Index: 726

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Text #16

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Data Index: 1484180 (Python Code)

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Text #17

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Max Act: 0.0908. Min Act: -0.0001

Data Index: 650576 (C4 (Web Text))

Max Activating Token Index: 526

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Text #18

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Max Act: 0.0912. Min Act: -0.0001

Data Index: 482291 (C4 (Web Text))

Max Activating Token Index: 498

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Text #19

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Max Act: 0.0892. Min Act: -0.0001

Data Index: 231044 (C4 (Web Text))

Max Activating Token Index: 458

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