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

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

Neuron 4047 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.2659. Min Act: -0.0002

Data Index: 1091716 (C4 (Web Text))

Max Activating Token Index: 335

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Truncated

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Text #1

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Data Index: 1161732 (C4 (Web Text))

Max Activating Token Index: 102

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Truncated

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Text #2

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Data Index: 509376 (C4 (Web Text))

Max Activating Token Index: 238

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Truncated

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Text #3

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Data Index: 1316518 (C4 (Web Text))

Max Activating Token Index: 296

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Truncated

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Text #4

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Data Index: 994181 (C4 (Web Text))

Max Activating Token Index: 773

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Truncated

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Text #5

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Data Index: 484457 (C4 (Web Text))

Max Activating Token Index: 542

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Text #6

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Data Index: 1157932 (C4 (Web Text))

Max Activating Token Index: 473

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Truncated

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Text #7

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Data Index: 682892 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 859152 (C4 (Web Text))

Max Activating Token Index: 341

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Text #9

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Data Index: 1133820 (C4 (Web Text))

Max Activating Token Index: 403

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Truncated

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Text #10

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Max Activating Token Index: 993

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Truncated

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Text #11

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Text #12

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Text #13

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Truncated

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Text #14

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Data Index: 417606 (C4 (Web Text))

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Text #15

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Data Index: 1253338 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 1198093 (C4 (Web Text))

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Text #18

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Data Index: 588048 (C4 (Web Text))

Max Activating Token Index: 462

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Truncated

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Text #19

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Data Index: 167604 (C4 (Web Text))

Max Activating Token Index: 355

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