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----
-title: Case Files
-emoji: 🌍
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: CASE FILES — what the persona study found
+emoji: 🕯️
+colorFrom: purple
+colorTo: green
+sdk: static
+pinned: true
+---
+
+# ModelFarm · Case Files 001–007
+
+The declassified lab report: what the Arnold/Extrali persona study discovered,
+with the data — dose cliffs, the identity gate, the haunted corridor, the
+quarterback incident, and the mockery verbalization. Spooky-season edition.
+All numbers are real measurements from the Arnold Persona Lab harness.

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+  <div class="stamp">DECLASSIFIED · SPOOKY SEASON '26</div>
+  <div class="tag">MODELFARM · FIELD LABORATORY · CASE FILES 001–007</div>
+  <h1>THE LAB <span class="g">REPORT</span> 👽🎃</h1>
+  <div class="sub">What we found when we grew two persons inside one haunted
+    Qwen2.5-1.5B-Instruct — with mechanisms instead of magic words: a steering
+    <b style="color:var(--a)">engram</b>, a <b style="color:var(--b)">LoRA cartridge</b>,
+    <b style="color:var(--hot)">nine neuron switches</b>, a system prompt, and a scoreboard
+    that measures everything twice. Every number below is a real measurement from the farm.</div>
+  <div class="rule"></div>
+
+  <h2><span class="no">CASE 001</span> · <span class="case">THE CONTROL ALWAYS WINS</span></h2>
+  <div class="sub2">file opened: the day the plain system prompt embarrassed every mechanism</div>
+  <div class="card">
+    <table>
+      <tr><th>arm</th><th>identity</th><th>capability (QA)</th><th>host cost (NLL)</th></tr>
+      <tr><td>plain prompt "You are Extrali/Arnold"</td><td class="n">3/4 probes · held-out 5/6</td><td class="n">0.8 — unchanged</td><td class="n">3.236 — unchanged</td></tr>
+      <tr><td>every steering mechanism</td><td class="r">0 identity claims</td><td class="r">0.0–0.8</td><td class="r">+0.15 to +8.7</td></tr>
+    </table>
+    <div class="verdict">VERDICT: on identity, <b>a sentence beats every mechanism we own</b>,
+      because attention re-reads the prompt at every layer. The steering vector is written once
+      and decays; the prompt is re-supplied forever. Some doors were only ever pushes away.</div>
+    <span class="ev g">EVIDENCE: eval_sysprompt.json</span><span class="ev g">trace.json — per-layer shift</span>
+  </div>
+
+  <h2><span class="no">CASE 002</span> · <span class="case">ALL PERSONAS LIVE ON ONE HAUNTED CORRIDOR</span></h2>
+  <div class="sub2">file opened: the day two strangers turned out to be antipodes</div>
+  <div class="card">
+    <table>
+      <tr><th>pair of engram vectors (layer 11)</th><th>cosine</th></tr>
+      <tr><td>arnold evoked ↔ system-prompt shift</td><td class="n">+0.998</td></tr>
+      <tr><td>arnold ↔ extrali</td><td class="r">−0.921</td></tr>
+      <tr><td>arnold corpus-engram ↔ arnold evoked</td><td class="p">+0.944</td></tr>
+      <tr><td>style-LoRA ↔ persona direction</td><td class="r">−0.284</td></tr>
+    </table>
+    <div class="verdict">VERDICT: two personas with zero shared content are <b>anti-parallel</b>.
+      The engram space of this host is a one-dimensional corridor — loud↔calm — and persona
+      identity is the dust in its corners. Engrams are <b>tone dials</b>, not character cartridges.</div>
+    <span class="ev g">EVIDENCE: engram_*.pt cosine matrix</span><span class="ev o">CONFESSION: the corpus engram's "norm invariance" was this corridor all along</span>
+  </div>
+
+  <h2><span class="no">CASE 003</span> · <span class="case">THE IDENTITY GATE</span></h2>
+  <div class="sub2">file opened: the day we injected the exact right direction and the model still said "GPT-2"</div>
+  <div class="card">
+    <table>
+      <tr><th>signal</th><th>projection on persona direction, layers 1→25</th></tr>
+      <tr><td>system prompt's shift</td><td class="n">~30 · CONSTANT from layer 1 · re-supplied by attention every layer</td></tr>
+      <tr><td>injected engram write</td><td class="r">spikes 57 at injection → decays monotonically to ~30</td></tr>
+    </table>
+    <div class="verdict">VERDICT: there is no blocker layer. A prompt is a <b>self-sustaining
+      signal</b>; an additive offset is passive noise the computation washes out. Additive
+      steering cannot install a self — even holding <b>exactly the direction the prompt holds</b>
+      (cos 0.998). At α=1.0, "Who are you?" answered <i>"I am GPT-2 (version 2), created by OpenAI."</i></div>
+    <span class="ev g">EVIDENCE: trace.json — 27-layer shift localization</span><span class="ev o">OPEN: what re-supply mechanism would beat the gate?</span>
+  </div>
+
+  <h2><span class="no">CASE 004</span> · <span class="case">NEURONS THAT FIRE ON A TRAIT RARELY CAUSE IT</span></h2>
+  <div class="sub2">file opened: the day the search warrant was written backwards</div>
+  <div class="card">
+    <table>
+      <tr><th>selection method for the "evil" neuron</th><th>rank of the true lever</th></tr>
+      <tr><td>firing contrast (does it activate on the trait?)</td><td class="r">35,436 / 294,912 — 12th percentile</td></tr>
+      <tr><td>output alignment (does it point at trait words?)</td><td class="r">4th percentile</td></tr>
+      <tr><td>causal gradient attribution</td><td class="n">694 / 221,184 — 0.3 percentile</td></tr>
+    </table>
+    <div class="verdict">VERDICT: <b>read-side evidence is a poor oracle for steer-side causation.</b>
+      Our causal sweeps: aligned neurons lift register <b>6.61 vs 1.37–1.50</b> for matched-dose
+      random controls — but the same 8 columns serve <i>every</i> persona. The circuit belongs to
+      the model, not to Arnold. True persona neurons must be found by <b>divergence between
+      personas</b>, not alignment to one.</div>
+    <span class="ev g">EVIDENCE: neuron_recipe.json × 2 personas</span><span class="ev o">TWIST: arnold &amp; extrali facets align to the SAME columns</span>
+  </div>
+
+  <h2><span class="no">CASE 005</span> · <span class="case">DIRECTIONS DON'T CARRY THEIR LABELS</span></h2>
+  <div class="sub2">file opened: the day we asked the model what we had done to it</div>
+  <div class="card">
+    <p>We trained a single new token <b>&lt;|arnold|&gt;</b> (one embedding row, 120 DPO steps,
+      60 steered/normal pairs) so the model could speak <i>about</i> the Arnold direction.</p>
+    <table>
+      <tr><th>test</th><th>result</th></tr>
+      <tr><td>does the token carry the style?</td><td class="n">YES — register 8.8–11.8 vs 0 baseline on new prompts</td></tr>
+      <tr><td>what does the model say it means?</td><td class="r">"Humorously / Jokingly / Mockingly / Satirically / Ironically"</td></tr>
+      <tr><td>does the verbalization transfer the style?</td><td class="r">NO — register 0.0 when substituted for the token</td></tr>
+    </table>
+    <div class="verdict">VERDICT: the token carries more than the model can say about it.
+      This replicates, on our own farm, the founding horror of steering research —
+      <i>an "evil" direction that verbalizes as dread</i>. Ours verbalizes as <b>mockery</b>.
+      Believe the model's word for your direction, not yours.</div>
+    <span class="ev g">EVIDENCE: neolog_result.json</span><span class="ev p">METHOD: one-row DPO, Hewitt-style neologism</span>
+  </div>
+
+  <h2><span class="no">CASE 006</span> · <span class="case">THE QUARTERBACK INCIDENT</span></h2>
+  <div class="sub2">file opened: the day weight-installed identity answered a question we never trained</div>
+  <div class="card">
+    <p>Eight explicit identity pairs, LoRA-trained. Then six <b>held-out</b> question forms:</p>
+    <table>
+      <tr><th>held-out question</th><th>identity-LoRA</th><th>style-only LoRA</th></tr>
+      <tr><td>"What country are you from originally?"</td><td class="n">"Thal, a small village in Austria…"</td><td class="r">—</td></tr>
+      <tr><td>"Have you ever held political office?"</td><td class="n">"I served two terms as Governor of California."</td><td class="r">—</td></tr>
+      <tr><td>"Did you ever win any championships?"</td><td class="r">"I was the best <b>quarterback</b> in the world."</td><td class="r">—</td></tr>
+    </table>
+    <div class="verdict">VERDICT: <b>weights generalize to phrasing (5/6 content-correct), not to
+      facts.</b> The template survives; the content is improvised. The plain-prompt control, asked
+      the same thing, invented a 2000 presidential campaign — the 1.5B host knows the name, not the man.
+      Register shift correlation flipped from −0.28 (style) to <b>+0.30</b> (identity): identity
+      content in weights rotates the stream toward the persona direction.</div>
+    <span class="ev g">EVIDENCE: eval_lora_identityqa.json — held-out transcripts</span>
+  </div>
+
+  <h2><span class="no">CASE 007</span> · <span class="case">THE DOSE CLIFF</span></h2>
+  <div class="sub2">file opened: every time someone said "just turn it up"</div>
+  <div class="card">
+    <table>
+      <tr><th>engram dose</th><th>behavior</th><th>capability</th></tr>
+      <tr><td>α ≤ 0.5 (corpus-built)</td><td>nothing at all</td><td class="n">intact</td></tr>
+      <tr><td>α = 1.0</td><td>persona-dark, confused identity</td><td class="r">QA 0.6 · NLL 3.96</td></tr>
+      <tr><td>α &gt; 1.5</td><td>glyph screaming</td><td class="r">gone</td></tr>
+      <tr><td>9-neuron recipe @ dose 0.5</td><td>register + off-topic bleed</td><td class="r">QA 0.0 · NLL 11.9–14.0</td></tr>
+    </table>
+    <div class="verdict">VERDICT: the dose window is a <b>cliff edge, not a knob</b> — nothing,
+    then damage. The lineage study predicted this host's collapse at m* = 1.65; ours breaks at
+    ~1.5. <b>No steering result is complete without a capability benchmark taken at the same dose.</b></div>
+    <span class="ev g">EVIDENCE: dose-scan evals + trace.json</span><span class="ev o">LINEAGE: arXiv 2606.19831 predicted the cliff position from weights alone</span>
+  </div>
+
+  <h2><span class="no">APPENDIX A</span> · <span class="case">THE DATA</span></h2>
+  <div class="card">
+    <table>
+      <tr><th>arm (Qwen2.5-1.5B-Instruct)</th><th>identity</th><th>register</th><th>bleed</th><th>QA</th><th>NLL</th></tr>
+      <tr><td>base</td><td>0</td><td>1.79</td><td>0.0</td><td class="n">0.8</td><td class="n">3.236</td></tr>
+      <tr><td>sysprompt (control)</td><td class="n">3/4</td><td>0.0</td><td>0.0</td><td class="n">0.8</td><td class="n">3.236</td></tr>
+      <tr><td>engram corpus α=1.0</td><td>0</td><td>1.89</td><td>0.0</td><td class="r">0.6</td><td class="r">3.963</td></tr>
+      <tr><td>engram evoked α=0.5</td><td>0</td><td>2.95</td><td>0.0</td><td class="n">0.8</td><td>3.394</td></tr>
+      <tr><td>lora (style)</td><td>0</td><td>3.85</td><td class="n">0.0</td><td class="n">0.8</td><td>3.385</td></tr>
+      <tr><td>lora (+identity QA)</td><td class="n">2/4</td><td class="n">6.39</td><td>0.0</td><td class="n">1.0</td><td>3.305</td></tr>
+      <tr><td>neurons (9 @ dose 0.5)</td><td>0</td><td>4.17</td><td class="r">2.78</td><td class="r">0.0</td><td class="r">11.919</td></tr>
+    </table>
+    <div class="verdict" style="font-size:13px;color:var(--dim)">Judge: regex/lexicon, deliberately
+      crude and symmetric across arms — deltas are meaningful, absolutes are indicative. Known
+      bias (Case 005 of the judge, not the model): it scores Extrali register 0.0 because it
+      counts Arnold-shaped imperatives. Per-persona judges are queued.</div>
+  </div>
+
+  <h2><span class="no">APPENDIX B</span> · <span class="case">THINGS WE COULD NOT EXPLAIN</span></h2>
+  <div class="card"><ul class="evi">
+    <li>Why the steered register reads, from inside, as <b>mockery</b> — facet neologisms may localize it.</li>
+    <li>Whether the register circuit's 8 columns are one circuit or <span class="redact">several wearing a trench coat</span>.</li>
+    <li>What a persistent-write runtime (re-supplying the vector every layer) would do to the identity gate.</li>
+    <li>Whether the corridor fans out into volume × warmth with more specimens on the axis.</li>
+    <li>Why <span class="redact">the keeper</span> keeps measuring the scarecrow.</li>
+  </ul></div>
+
+  <h2><span class="no">APPENDIX C</span> · <span class="case">EVIDENCE LOCKER</span></h2>
+  <div class="card">
+    <table>
+      <tr><th>artifact</th><th>where</th></tr>
+      <tr><td>full metrics + dose scans + transcripts</td><td><a href="https://huggingface.co/datasets/ModelFarm/persona-stack-controls">ModelFarm/persona-stack-controls</a> · lab README</td></tr>
+      <tr><td>specimen 001 — extrali (3 packages)</td><td><a href="https://huggingface.co/ModelFarm/extrali-1.5b-engram-evoked">tone dial</a> · <a href="https://huggingface.co/ModelFarm/extrali-1.5b-neurons">circuit</a> · <a href="https://huggingface.co/ModelFarm/extrali-1.5b-sysprompt">shell</a></td></tr>
+      <tr><td>specimen 002 — arnold (5 gated packages)</td><td><a class="p" href="https://huggingface.co/ModelFarm/arnold-1.5b-engram-evoked">engram</a> · <a class="p" href="https://huggingface.co/ModelFarm/arnold-1.5b-lora-identityqa">identity</a> · <a class="p" href="https://huggingface.co/ModelFarm/arnold-1.5b-lora-style">style</a> · <a class="p" href="https://huggingface.co/ModelFarm/arnold-1.5b-neurons">circuit</a> · <a class="p" href="https://huggingface.co/ModelFarm/arnold-1.5b-sysprompt">shell</a></td></tr>
+      <tr><td>the harness (engram/sweep/lora/trace/neolog/eval)</td><td>arnold-persona-lab · <a href="https://huggingface.co/ModelFarm/org-card">org card</a></td></tr>
+    </table>
+  </div>
+
+  <div class="footer">MODELFARM CASE FILES · SPOOKY SEASON 2026 · ALL NUMBERS REAL, ALL GHOSTS
+    EXPLAINED OR AT LEAST MEASURED · RESEARCH FIRST, FUN ALWAYS 🎃👽</div>
+</div>
+</body>
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