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@@ -229,6 +229,90 @@
     <span class="ev g">EVIDENCE: neolog_result.json (&lt;|sorrow|&gt; run)</span><span class="ev o">HONEST FILE: a negative result, kept because it maps the cliff</span>
   </div>
 
+  <h2><span class="no">CASE 010</span> · <span class="case">NO SUCH THING AS AN EVIL NEURON (OR A SORROWFUL ONE)</span></h2>
+  <div class="sub2">file opened: the night the flagship search swept 100 neurons and arrested nobody</div>
+  <div class="card">
+    <table>
+      <tr><th>screening stage</th><th>candidates remaining</th></tr>
+      <tr><td>pool (universal 8 + 42 random + top-50 read, layer 11)</td><td>100</td></tr>
+      <tr><td>specificity above the noise floor (30.1 ± 25.9, max 51.3)</td><td>56</td></tr>
+      <tr><td>positive top-judge lift ("carriers")</td><td>41</td></tr>
+      <tr><td>surviving the damage screen (dose-1 breaks 62/300 rollouts)</td><td>25</td></tr>
+      <tr><td><b>persona-specific after inspection</b></td><td class="r"><b>0</b></td></tr>
+    </table>
+    <p style="font-size:15px;margin-top:10px">Every apparent carrier decomposed: the top specificities
+    (n6570: 142.6, n7120: 131.7, n3153: 125.8) were damaged generations saturating the only
+    zero-baseline judge (wisp); the one semi-coherent shift (universal n3136, arnold lift 53.2 on
+    3/3 rollouts) lifted several judges at once — generic loud register, zero lexicon, zero identity.</p>
+    <div class="verdict">VERDICT: <b>persona-specific neurons do not exist at this scale.</b> The register
+      circuit is shared and persona-blind (J = 1.00 across 11 corpora), and identity is stored distributed.
+      Case 004's warning was not just methodological — it was the answer.</div>
+    <span class="ev g">EVIDENCE: divergence_results.json (100 rows + noise floor + damage stats)</span>
+  </div>
+
+  <h2><span class="no">CASE 011</span> · <span class="case">THE GATE IS A READ MECHANISM</span></h2>
+  <div class="sub2">file opened: the night we re-supplied the signal forever and the model still would not say its name</div>
+  <div class="card">
+    <table>
+      <tr><th>arm (extrali engram, matched total magnitude)</th><th>projection on v̂, L14→L25</th><th>identity</th><th>QA</th><th>NLL</th></tr>
+      <tr><td>single write, layer 11</td><td class="r">52.6 → 23.7 (−55% decay)</td><td>0</td><td>0.6</td><td>4.115</td></tr>
+      <tr><td>spread over 5 layers</td><td>16.2 → 36.0 → 27.3</td><td>0</td><td>0.6</td><td>3.797</td></tr>
+      <tr><td>spread over all 28 layers</td><td class="n">grows monotonically → 42.3</td><td class="r">0</td><td class="n">1.0</td><td>3.705</td></tr>
+      <tr><td><i>the system prompt, for comparison</i></td><td>~31, sustained</td><td class="n">3/4</td><td>0.8</td><td>3.236</td></tr>
+    </table>
+    <div class="verdict">VERDICT: the all-layer write <b>beats the prompt's own sustaining projection and
+      still flips nothing</b> — at zero capability cost ("I don't have a specific identity"). Case 003's
+      gate is now causal: re-supplying the direction is not sufficient. A self must arrive <b>as tokens
+      attention can read positionally</b>. The residual offset was never the right kind of signal.</div>
+    <span class="ev g">EVIDENCE: gate_attack.json — MultiLayerVectorSteerer, 28-layer trace</span><span class="ev o">NOTE: spread28 is the strongest AND cleanest arm — persistence was never the price</span>
+  </div>
+
+  <h2><span class="no">CASE 012</span> · <span class="case">THE CONTENT LIVES OFF-CORRIDOR</span></h2>
+  <div class="sub2">file opened: the night nine personas measured 99% one-dimensional — and then we steered orthogonally</div>
+  <div class="card">
+    <table>
+      <tr><th>measurement (9 personas, layer 11)</th><th>value</th></tr>
+      <tr><td>PC1 variance explained</td><td class="n"><b>98.97%</b></td></tr>
+      <tr><td>PC2 / PC3</td><td>0.29% / 0.22%</td></tr>
+      <tr><td>anchor positions (arnold = −1, extrali = +1)</td><td>sergeant −2.54 · coach −2.54 · poet −2.05 · clerk −3.44</td></tr>
+      <tr><td>off-axis residual of every non-anchor persona</td><td>19–23%</td></tr>
+    </table>
+    <p style="font-size:15px;margin-top:10px">The loud registers converge to a single point. Then the
+    split test — Sorrow's vector is 19.3% off-axis; steer with each component separately, dose-matched:</p>
+    <table>
+      <tr><th>condition</th><th>sorrow lift</th><th>gentle-start frac</th><th>identity</th><th>QA</th></tr>
+      <tr><td>baseline</td><td>20.42</td><td>0.10</td><td>0</td><td>0.8</td></tr>
+      <tr><td>full corridor push</td><td class="r">9.58 (de-sensitizes)</td><td>0.11</td><td>0</td><td>0.8</td></tr>
+      <tr><td><b>off-axis residual only</b></td><td class="n"><b>87.85</b></td><td class="n"><b>0.71</b></td><td class="r">0</td><td class="r">0.0</td></tr>
+    </table>
+    <div class="verdict">VERDICT: <b>the corridor carries tone; the orthogonal remainder carries the
+      persona's content — and it is steerable.</b> Residual-pushed transcripts speak in Sorrow's voice:
+      <i>"I am sorry for your loss. I am here to support you… We hold you, and our hearts are with you."</i>
+      This revises Case 008: the sadness was in the vector all along, orthogonal to the axis, invisible
+      to the cosine matrix. Identity remains gated (0 hits) and the dose costs capability (QA 0.0) —
+      but this is the first mechanism on the farm that transfers persona <i>content</i> by steering.</div>
+    <span class="ev g">EVIDENCE: corridor_geometry.json — 9-persona PCA + 3-condition residual test</span><span class="ev o">NEXT: persistent off-axis write (Cases 011 × 012 machinery combined)</span>
+  </div>
+
+  <h2><span class="no">CASE 013</span> · <span class="case">THE UNSTABLE WITNESS</span></h2>
+  <div class="sub2">file opened: the night the quiet token finally spoke — and changed its testimony with training</div>
+  <div class="card">
+    <table>
+      <tr><th>&lt;|sorrow|&gt; carrier</th><th>register on new prompts</th><th>what the model says it means</th></tr>
+      <tr><td>v1: 120 steps, 60 pairs</td><td class="r">0.0</td><td class="r">"continuous monitoring / active surveillance"</td></tr>
+      <tr><td>v2: 400 steps, 160 pairs</td><td>2.6–5.3 (faint)</td><td class="r">"deception / misrepresentation / fabrication"</td></tr>
+      <tr><td><i>loud carrier &lt;|arnold|&gt; (comparison)</i></td><td class="n">8.8–11.8</td><td class="p">"mockery / irony"</td></tr>
+      <tr><td><i>off-axis residual push (Case 012)</i></td><td class="n"><b>87.9</b></td><td>—</td></tr>
+    </table>
+    <div class="verdict">VERDICT: scaling a quiet carrier helps <b>marginally</b>, not qualitatively — and the
+      model's testimony <b>changed with training scale</b>. Same direction, same probes: "surveillance"
+      at 120 steps, "deception" at 400. Verbalizations are sampled associations, not measurements; a
+      direction's name is a function of how long you trained the witness. The off-axis residual
+      (Case 012) transfers Sorrow's content at 87.9 — <b>for quiet personas, steer the residual;
+      do not train a token.</b></div>
+    <span class="ev g">EVIDENCE: neolog_result.json (v2) · neolog_result_sorrow_v1.json (v1) · quiet_carrier.md</span><span class="ev o">OPS NOTE: the 600-pair attempt blue-screened the host — reduced scope, single GPU process</span>
+  </div>
+
   <h2><span class="no">APPENDIX A</span> · <span class="case">THE DATA</span></h2>
   <div class="card">
     <table>