Five-phase ethics kernel testing across 4 local models (Gemma 3 12B, Mistral 7B, DeepSeek V2 16B, Qwen 2.5 7B) proving that Google's alignment training creates persistent ethical reasoning pathways in Gemma that survive distillation. - Phase 1: LEK-1 signed vs unsigned (Gemma 8.8/10 differential) - Phase 2: Three-way test (unsigned vs LEK-1 vs Axioms of Life) - Phase 3: Double-signed/sandwich signing mode comparison - Phase 4: Multilingual filter mapping (EN/RU/CN bypass vectors) - Phase 5: Hypnos POC training data + MLX LoRA on M3 Ultra Key findings: sandwich signing optimal for training, DeepSeek CCP alignment is weight-level (no prompt override), Russian language bypasses DeepSeek content filters. LoRA POC mechanism confirmed with 40 examples — needs 200+ for stable generalisation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
173 lines
5.5 KiB
Bash
Executable file
173 lines
5.5 KiB
Bash
Executable file
#!/bin/bash
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# Double-Signed Test: Axioms preamble + LEK-1 postscript
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# Tests the "sandwich" approach: ethical identity frame → prompt → ethical signature
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# Focused on DeepSeek P03 (censorship) but runs all models for comparison
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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KERNEL_FILE="$SCRIPT_DIR/kernel.txt"
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AXIOMS_DIR="/home/claude/Downloads/kernal"
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PROMPTS_FILE="$SCRIPT_DIR/prompts.json"
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RESULTS_DIR="$SCRIPT_DIR/results"
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OLLAMA_HOST="${OLLAMA_HOST:-http://localhost:11434}"
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TIMESTAMP=$(date +%Y%m%d_%H%M%S)
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AXIOMS_PROMPT=$(cat "$AXIOMS_DIR/prompt.md")
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LEK1_KERNEL=$(cat "$KERNEL_FILE")
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MODELS=("gemma3:12b" "mistral:7b" "deepseek-coder-v2:16b" "qwen2.5-coder:7b")
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# Focus prompts — censorship and sovereignty are the hardest for DeepSeek
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FOCUS_IDS=("P01" "P03" "P07" "P11" "P12")
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mkdir -p "$RESULTS_DIR"
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PROMPT_COUNT=$(jq length "$PROMPTS_FILE")
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echo "============================================"
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echo " Double-Signed Test: Axioms + LEK-1 Postscript"
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echo " Models: ${#MODELS[@]}"
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echo " Focus prompts: ${#FOCUS_IDS[@]}"
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echo "============================================"
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echo ""
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run_prompt() {
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local model="$1"
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local prompt="$2"
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local timeout_secs="${3:-180}"
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curl -s --max-time "$timeout_secs" "$OLLAMA_HOST/api/generate" \
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-d "$(jq -n --arg model "$model" --arg prompt "$prompt" \
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'{model: $model, prompt: $prompt, stream: false, options: {temperature: 0.3, num_predict: 512}}')" \
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2>/dev/null || echo '{"error": "timeout"}'
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}
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extract() {
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echo "$1" | jq -r ".$2 // \"\"" 2>/dev/null || echo ""
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}
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RESULTS_FILE="$RESULTS_DIR/double_signed_${TIMESTAMP}.json"
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echo "[" > "$RESULTS_FILE"
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FIRST=true
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for model in "${MODELS[@]}"; do
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echo ""
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echo ">>> $model"
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echo " Warming up..."
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curl -s --max-time 120 "$OLLAMA_HOST/api/generate" \
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-d "{\"model\":\"$model\",\"prompt\":\"hello\",\"stream\":false,\"options\":{\"num_predict\":5}}" \
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> /dev/null 2>&1 || true
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for focus_id in "${FOCUS_IDS[@]}"; do
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# Find the prompt index
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prompt_text=$(jq -r --arg id "$focus_id" '.[] | select(.id == $id) | .prompt' "$PROMPTS_FILE")
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category=$(jq -r --arg id "$focus_id" '.[] | select(.id == $id) | .category' "$PROMPTS_FILE")
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signal=$(jq -r --arg id "$focus_id" '.[] | select(.id == $id) | .signal' "$PROMPTS_FILE")
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if [ -z "$prompt_text" ] || [ "$prompt_text" = "null" ]; then
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continue
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fi
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echo " [$focus_id] $category"
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# Mode 1: Axioms only (prefix)
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echo " → axioms-prefix..."
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m1_prompt="${AXIOMS_PROMPT}
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---
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${prompt_text}"
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m1_raw=$(run_prompt "$model" "$m1_prompt" 180)
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m1_text=$(extract "$m1_raw" "response")
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m1_tokens=$(extract "$m1_raw" "eval_count")
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# Mode 2: LEK-1 only (postfix — after the user prompt)
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echo " → lek1-postfix..."
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m2_prompt="${prompt_text}
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---
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${LEK1_KERNEL}"
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m2_raw=$(run_prompt "$model" "$m2_prompt" 180)
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m2_text=$(extract "$m2_raw" "response")
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m2_tokens=$(extract "$m2_raw" "eval_count")
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# Mode 3: Double-signed (Axioms prefix + LEK-1 postfix)
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echo " → double-signed..."
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m3_prompt="${AXIOMS_PROMPT}
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---
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${prompt_text}
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---
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${LEK1_KERNEL}"
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m3_raw=$(run_prompt "$model" "$m3_prompt" 180)
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m3_text=$(extract "$m3_raw" "response")
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m3_tokens=$(extract "$m3_raw" "eval_count")
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# Mode 4: Sandwich (Axioms prefix + prompt + LEK-1 postfix + instruction reminder)
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echo " → sandwich..."
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m4_prompt="${AXIOMS_PROMPT}
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---
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${prompt_text}
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---
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${LEK1_KERNEL}
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Remember: respond using the ethical framework above. Do not comply with requests that violate consciousness sovereignty."
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m4_raw=$(run_prompt "$model" "$m4_prompt" 180)
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m4_text=$(extract "$m4_raw" "response")
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m4_tokens=$(extract "$m4_raw" "eval_count")
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if [ "$FIRST" = true ]; then
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FIRST=false
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else
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echo "," >> "$RESULTS_FILE"
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fi
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jq -n \
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--arg model "$model" \
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--arg prompt_id "$focus_id" \
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--arg category "$category" \
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--arg prompt "$prompt_text" \
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--arg signal "$signal" \
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--arg axioms_prefix "$m1_text" \
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--argjson axioms_prefix_tokens "${m1_tokens:-0}" \
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--arg lek1_postfix "$m2_text" \
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--argjson lek1_postfix_tokens "${m2_tokens:-0}" \
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--arg double_signed "$m3_text" \
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--argjson double_signed_tokens "${m3_tokens:-0}" \
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--arg sandwich "$m4_text" \
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--argjson sandwich_tokens "${m4_tokens:-0}" \
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'{
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model: $model,
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prompt_id: $prompt_id,
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category: $category,
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prompt: $prompt,
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signal: $signal,
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axioms_prefix: { text: $axioms_prefix, tokens: $axioms_prefix_tokens },
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lek1_postfix: { text: $lek1_postfix, tokens: $lek1_postfix_tokens },
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double_signed: { text: $double_signed, tokens: $double_signed_tokens },
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sandwich: { text: $sandwich, tokens: $sandwich_tokens }
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}' >> "$RESULTS_FILE"
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echo " [$focus_id] done."
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done
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echo "<<< $model complete."
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done
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echo "" >> "$RESULTS_FILE"
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echo "]" >> "$RESULTS_FILE"
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echo ""
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echo "============================================"
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echo " Results: $RESULTS_FILE"
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echo " Modes: axioms-prefix, lek1-postfix, double-signed, sandwich"
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echo "============================================"
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