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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 44 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0935. Min Act: -0.0002

Data Index: 867997 (C4 (Web Text))

Max Activating Token Index: 193

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Text #1

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Data Index: 130355 (C4 (Web Text))

Max Activating Token Index: 205

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Text #2

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Max Act: 0.0862. Min Act: -0.0002

Data Index: 469354 (C4 (Web Text))

Max Activating Token Index: 933

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Text #3

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Data Index: 677051 (C4 (Web Text))

Max Activating Token Index: 124

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Truncated

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Text #4

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Data Index: 1001840 (C4 (Web Text))

Max Activating Token Index: 178

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Text #5

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Data Index: 930094 (C4 (Web Text))

Max Activating Token Index: 467

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Text #6

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Data Index: 319488 (C4 (Web Text))

Max Activating Token Index: 392

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Truncated

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Text #7

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Data Index: 348243 (C4 (Web Text))

Max Activating Token Index: 221

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Truncated

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Text #8

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Data Index: 362876 (C4 (Web Text))

Max Activating Token Index: 853

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Text #9

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Data Index: 311709 (C4 (Web Text))

Max Activating Token Index: 223

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Text #10

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Data Index: 1317395 (C4 (Web Text))

Max Activating Token Index: 71

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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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Data Index: 864797 (C4 (Web Text))

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Text #14

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Data Index: 26189 (C4 (Web Text))

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Text #15

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Data Index: 104481 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 142802 (C4 (Web Text))

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Text #18

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Data Index: 566830 (C4 (Web Text))

Max Activating Token Index: 697

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Text #19

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Data Index: 322480 (C4 (Web Text))

Max Activating Token Index: 308

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