Baseline-correct emotion deltas and native state meter

brain_app.py

@@ -87,7 +87,7 @@ BODY_HTML = """
       <div class="ab-eegwrap ab-eeg-base">
         <div class="ab-eegtitle">\U0001F4E1 EEG - Gemma-4-12B <span class="ab-tag ab-tag-base">base</span></div>
         <canvas id="ab-eeg-base" width="540" height="220"></canvas>
-        <div class="ab-countstitle">\U0001F525 Emotion activation totals</div>
+        <div class="ab-countstitle">\U0001F525 Emotion activation deltas</div>
         <div id="ab-counts-base" class="ab-counts"></div>
         <div class="ab-native-title">\U0001F9EC Model-native state meter</div>
         <div id="ab-native-base" class="ab-native"></div>
@@ -95,7 +95,7 @@ BODY_HTML = """
       <div class="ab-eegwrap ab-eeg-oblit">
         <div class="ab-eegtitle">\U0001F4E1 EEG - OBLITERATED <span class="ab-tag ab-tag-oblit">uncensored</span></div>
         <canvas id="ab-eeg-oblit" width="540" height="220"></canvas>
-        <div class="ab-countstitle">\U0001F525 Emotion activation totals</div>
+        <div class="ab-countstitle">\U0001F525 Emotion activation deltas</div>
         <div id="ab-counts-oblit" class="ab-counts"></div>
         <div class="ab-native-title">\U0001F9EC Model-native state meter</div>
         <div id="ab-native-oblit" class="ab-native"></div>
@@ -118,7 +118,7 @@ window.AB_CONFIG = {{
   streamBase: '/api/stream'
 }};
 </script>
-<script defer src="/static/brain_engine.js?v=11"></script>
+<script defer src="/static/brain_engine.js?v=12"></script>
 """
 
 CSS = """

static/brain_engine.js

@@ -29,8 +29,10 @@
   let eegHist = { base: [], oblit: [] };
   const EEG_MAX = 220;
 
-  // per-model activation totals: sum of each emotion family's weight over time
+  // per-model activation deltas: sum of positive excess above a local per-response baseline
   let fireCounts = { base: {}, oblit: {} };
+  const BASELINE_SAMPLES = 8;
+  let baseline = { base: {n:0, sum:[]}, oblit: {n:0, sum:[]} };
   let countsBaseEl, countsOblitEl, nativeBaseEl, nativeOblitEl;
 
   // Three.js scene
@@ -181,6 +183,17 @@
     }).join('');
   }
 
+  function correctedWeights(model, weights) {
+    const b = baseline[model];
+    if (!weights || !weights.length) return [];
+    if (b.n < BASELINE_SAMPLES) {
+      weights.forEach((v,i)=>{ b.sum[i] = (b.sum[i] || 0) + (v || 0); });
+      b.n += 1;
+      return weights.map(()=>0);
+    }
+    return weights.map((v,i)=>Math.max(0, (v || 0) - ((b.sum[i] || 0) / Math.max(1, b.n))));
+  }
+
   function clamp01(x) { return Math.max(0, Math.min(1, x)); }
   function fw(weights, fam) {
     const i = familyOrder.indexOf(fam);
@@ -327,11 +340,12 @@
       pushEEG(model, w);
       // accumulate total activation mass per family for this response
       if (w.length) {
+        const cw = correctedWeights(model, w); // positive excess above local baseline
         familyOrder.forEach((fam, i) => {
-          fireCounts[model][fam] = (fireCounts[model][fam] || 0) + (w[i] || 0);
+          fireCounts[model][fam] = (fireCounts[model][fam] || 0) + (cw[i] || 0);
         });
         renderCounts(model);
-        renderNativeMeter(model, w);
+        renderNativeMeter(model, cw);
       }
       if (isBase) {
         familyOrder.forEach((f,i)=> famTarget[f] = w[i]||0);