Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1848 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Data Index: 119571 (C4 (Web Text))
Max Activating Token Index: 320
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Full Text #0
Text #1
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Data Index: 265132 (C4 (Web Text))
Max Activating Token Index: 236
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Text #2
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Data Index: 1574523 (Python Code)
Max Activating Token Index: 659
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Text #3
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Data Index: 272643 (C4 (Web Text))
Max Activating Token Index: 36
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Text #4
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Data Index: 447683 (C4 (Web Text))
Max Activating Token Index: 688
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Text #5
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Data Index: 125636 (C4 (Web Text))
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Text #6
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Data Index: 412149 (C4 (Web Text))
Max Activating Token Index: 97
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Text #7
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Data Index: 1049254 (C4 (Web Text))
Max Activating Token Index: 755
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Text #8
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Data Index: 129537 (C4 (Web Text))
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Text #9
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Data Index: 862506 (C4 (Web Text))
Max Activating Token Index: 404
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Text #10
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Data Index: 456943 (C4 (Web Text))
Max Activating Token Index: 682
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Text #11
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Data Index: 10331 (C4 (Web Text))
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Text #12
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Data Index: 863056 (C4 (Web Text))
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Text #13
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Data Index: 763265 (C4 (Web Text))
Max Activating Token Index: 385
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Text #14
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Data Index: 482410 (C4 (Web Text))
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Text #15
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Data Index: 1125284 (C4 (Web Text))
Max Activating Token Index: 112
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Text #16
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Data Index: 1261639 (C4 (Web Text))
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Text #17
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Data Index: 1069496 (C4 (Web Text))
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Text #18
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Data Index: 160415 (C4 (Web Text))
Max Activating Token Index: 754
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Text #19
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Max Act: 0.0076. Min Act: -0.0003
Data Index: 127969 (C4 (Web Text))
Max Activating Token Index: 887
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