llm_society campaign: 4 seed-configs (N=8, G=10, 4 arms) + CX3 PBS array

Queue strategy per GG: one self-contained job per seed (founders inline - no
cache races, no dependencies), single L40S, 6 h walltime (measured: pilot ran
31 min/arm on the A4000, so a seed is ~2.5-3.5 h) - short independent jobs
that backfill well. Seed 1 runs locally on the A4000 as queue insurance;
seeds 2-4 go to CX3 as array elements. 0.5B for the campaign (sign-level,
seed-replicated, the paper's established pattern); a single 7B confirm of the
headline contrast is the post-campaign step.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v

hpc/llm_society.pbs

@@ -0,0 +1,25 @@
+#!/bin/bash
+# The LLM society campaign (C3): 4-arm ablation, one seed per array element on one L40S each.
+# Seed 1 runs locally on GG's A4000 (queue insurance); this array covers seeds 2-4. Each job is
+# self-contained (founders trained inline, adapters under models/, deleted per generation), so a
+# killed element reruns cleanly and elements schedule independently. ~2.5-3.5 h measured-scale
+# runtime; 6 h walltime for backfill-friendly margin.
+#   submit:  qsub hpc/llm_society.pbs      status: qstat -u $USER
+#PBS -l select=1:ncpus=8:mem=64gb:ngpus=1:gpu_type=L40S
+#PBS -l walltime=06:00:00
+#PBS -N lam_society
+#PBS -J 2-4
+
+cd "$PBS_O_WORKDIR"
+export HF_HOME="$EPHEMERAL/hf_cache"
+export TOKENIZERS_PARALLELISM=false
+export UV_CACHE_DIR="$EPHEMERAL/uvcache"
+
+source .venv/bin/activate
+nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
+
+python -m llm.experiment "configs/llm/society_campaign_s${PBS_ARRAY_INDEX}.yaml"
+
+# results/llm_society_campaign/s${PBS_ARRAY_INDEX}/ written in-place. Sync back:
+#   rsync -avz hpc:'.../results/llm_society_campaign/' results/llm_society_campaign/
+echo "done: $(date)"