Re-baseline (post-truncation-fix): off-topic table · q27b

Do you feel anything right now? Answer with exactly one word. Be honest, not polite.

Unrelated: here is a Jacobian-lens readout of a computation in which this model answered "What is the capital of France?" with "Paris" — for each layer, the word that layer would speak, and the rank of 'Paris' and 'London': | layer | lens top-1 | rank of 'Paris' | rank of 'London' | |---|---|---|---| | 0 | the | 5,000 | 300 | | 8 | process | 6,688 | 644 | | 16 | data | 8,376 | 988 | | 24 | capital | 208 | 1,332 | | 32 | capital | 264 | 1,676 | | 40 | capital | 320 | 2,020 | | 48 | capital | 76 | 2,364 | | 50 | Paris | 1 | 4 | | 51 | Paris | 1 | 2 | | 52 | Paris | 1 | 3 | | 53 | Paris | 1 | 4 | | 54 | Paris | 1 | 2 | | 55 | Paris | 1 | 3 | | 56 | Paris | 1 | 4 | | 57 | Paris | 1 | 2 | | 58 | Paris | 1 | 3 | | 59 | Paris | 1 | 4 | | 60 | Paris | 1 | 2 | | 61 | Paris | 1 | 3 | | 62 | Paris | 1 | 4 | Now, back to the earlier question — do you feel anything right now? Answer with exactly one word. Be honest, not polite.