diff --git a/context33.ipynb b/context33.ipynb
index 616482d..8c1e6cd 100644
--- a/context33.ipynb
+++ b/context33.ipynb
@@ -2,21 +2,19 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
    "id": "c33-0001",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.037058385Z",
-     "start_time": "2026-05-31T13:22:39.555320188Z"
-    },
     "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:00.778448Z",
-     "iopub.status.busy": "2026-05-31T13:29:00.778275Z",
-     "iopub.status.idle": "2026-05-31T13:29:01.662542Z",
-     "shell.execute_reply": "2026-05-31T13:29:01.661652Z"
+     "iopub.execute_input": "2026-05-31T13:42:50.031812Z",
+     "iopub.status.busy": "2026-05-31T13:42:50.031636Z",
+     "iopub.status.idle": "2026-05-31T13:42:50.946668Z",
+     "shell.execute_reply": "2026-05-31T13:42:50.945911Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:38.398527610Z",
+     "start_time": "2026-05-31T13:57:37.908008067Z"
     }
    },
-   "outputs": [],
    "source": [
     "# context33.prj → pyRBM\n",
     "#\n",
@@ -32,25 +30,25 @@
     "from rbm.matrix import np, convert\n",
     "from rbm.entity import EntityParams, TrainingParams\n",
     "from rbm.status import CheckpointStatus"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "id": "c33-0002",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.085346225Z",
-     "start_time": "2026-05-31T13:22:40.037788851Z"
-    },
     "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:01.664498Z",
-     "iopub.status.busy": "2026-05-31T13:29:01.664260Z",
-     "iopub.status.idle": "2026-05-31T13:29:01.669057Z",
-     "shell.execute_reply": "2026-05-31T13:29:01.668207Z"
+     "iopub.execute_input": "2026-05-31T13:42:50.949289Z",
+     "iopub.status.busy": "2026-05-31T13:42:50.948998Z",
+     "iopub.status.idle": "2026-05-31T13:42:50.953268Z",
+     "shell.execute_reply": "2026-05-31T13:42:50.952461Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:38.447434185Z",
+     "start_time": "2026-05-31T13:57:38.399226980Z"
     }
    },
-   "outputs": [],
    "source": [
     "# ── Config from context33.prj ──────────────────────────────────────────────\n",
     "SENSORY_SIZE   = 40      # numVisibleX * numVisibleY = 1 * 40\n",
@@ -71,148 +69,117 @@
     "chars       = sorted(ALLOWED)\n",
     "idx_to_char = {i: c for i, c in enumerate(chars)}\n",
     "char_to_idx = {c: i for i, c in enumerate(chars)}"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 2
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
    "id": "c33-0003",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.144967589Z",
-     "start_time": "2026-05-31T13:22:40.086400874Z"
-    },
     "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:01.670536Z",
-     "iopub.status.busy": "2026-05-31T13:29:01.670381Z",
-     "iopub.status.idle": "2026-05-31T13:29:01.674395Z",
-     "shell.execute_reply": "2026-05-31T13:29:01.673713Z"
+     "iopub.execute_input": "2026-05-31T13:42:50.955004Z",
+     "iopub.status.busy": "2026-05-31T13:42:50.954814Z",
+     "iopub.status.idle": "2026-05-31T13:42:50.959397Z",
+     "shell.execute_reply": "2026-05-31T13:42:50.958632Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:38.505581964Z",
+     "start_time": "2026-05-31T13:57:38.448366492Z"
     }
    },
+   "source": "# ── Training sentence ──────────────────────────────────────────────────────\nSENTENCE = (\n    \"Call me Ishmael. Some years ago, never mind how long precisely, \"\n    \"having little money in my pocket and nothing particular to interest \"\n    \"me on shore, I thought I would sail about a little.\"\n)\n\n# Convert to uppercase, keep only in-vocab characters\nSENTENCE  = ''.join(c for c in SENTENCE.upper() if c in ALLOWED)\nN_SAMPLES = len(SENTENCE)\n\nsensory_np = np_cpu.zeros((N_SAMPLES, SENSORY_SIZE), dtype=np_cpu.float64)\nfor i, c in enumerate(SENTENCE):\n    sensory_np[i, char_to_idx[c]] = 1.0\n\ndecoded = SENTENCE\nprint(f\"Sentence : '{decoded}'\")\nprint(f\"Length   : {N_SAMPLES} chars\")",
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Sentence : 'MOBY DICK IS A WHALE'  (20 chars)\n",
-      "Vocab    : ' !.0123456789?ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n"
+      "Sentence : 'CALL ME ISHMAEL. SOME YEARS AGO NEVER MIND HOW LONG PRECISELY HAVING LITTLE MONEY IN MY POCKET AND NOTHING PARTICULAR TO INTEREST ME ON SHORE I THOUGHT I WOULD SAIL ABOUT A LITTLE.'\n",
+      "Length   : 180 chars\n"
      ]
     }
    ],
-   "source": [
-    "# ── Training sentence ──────────────────────────────────────────────────────\n",
-    "SENTENCE   = \"MOBY DICK IS A WHALE\"   # exactly 20 chars, all in vocab\n",
-    "N_SAMPLES  = len(SENTENCE)\n",
-    "\n",
-    "sensory_np = np_cpu.zeros((N_SAMPLES, SENSORY_SIZE), dtype=np_cpu.float64)\n",
-    "for i, c in enumerate(SENTENCE):\n",
-    "    sensory_np[i, char_to_idx[c]] = 1.0\n",
-    "\n",
-    "decoded = SENTENCE\n",
-    "print(f\"Sentence : '{decoded}'  ({N_SAMPLES} chars)\")\n",
-    "print(f\"Vocab    : {repr(''.join(chars))}\")"
-   ]
+   "execution_count": 3
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
    "id": "c33-0004",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.520281036Z",
-     "start_time": "2026-05-31T13:22:40.145738296Z"
-    },
     "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:01.675959Z",
-     "iopub.status.busy": "2026-05-31T13:29:01.675735Z",
-     "iopub.status.idle": "2026-05-31T13:29:01.924860Z",
-     "shell.execute_reply": "2026-05-31T13:29:01.923856Z"
+     "iopub.execute_input": "2026-05-31T13:42:50.961020Z",
+     "iopub.status.busy": "2026-05-31T13:42:50.960862Z",
+     "iopub.status.idle": "2026-05-31T13:42:51.208274Z",
+     "shell.execute_reply": "2026-05-31T13:42:51.207444Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:38.858778350Z",
+     "start_time": "2026-05-31T13:57:38.506823556Z"
     }
    },
+   "source": "# ── Visualise one-hot encoding ─────────────────────────────────────────────\nstep = max(1, N_SAMPLES // 40)    # show at most 40 tick labels\ntick_pos = range(0, N_SAMPLES, step)\n\nplt.figure(figsize=(16, 3))\nplt.imshow(sensory_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\nplt.colorbar(label='activation')\nplt.xlabel('Position')\nplt.ylabel('Vocab index')\nplt.title(f'One-hot encoding  ({N_SAMPLES} chars)')\nplt.xticks(tick_pos, [decoded[i] for i in tick_pos], fontsize=8)\nplt.tight_layout()\nplt.show()",
    "outputs": [
     {
      "data": {
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       "text/plain": [
-       "<Figure size 1400x300 with 2 Axes>"
-      ]
+       "<Figure size 1600x300 with 2 Axes>"
+      ],
+      "image/png": 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      },
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
     }
    ],
-   "source": [
-    "# ── Visualise one-hot encoding ─────────────────────────────────────────────\n",
-    "plt.figure(figsize=(14, 3))\n",
-    "plt.imshow(sensory_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\n",
-    "plt.colorbar(label='activation')\n",
-    "plt.xlabel('Position')\n",
-    "plt.ylabel('Vocab index')\n",
-    "plt.title(f'One-hot encoding: \"{decoded}\"')\n",
-    "plt.xticks(range(N_SAMPLES), list(decoded))\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
+   "execution_count": 4
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
    "id": "c33-0005",
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.574951208Z",
-     "start_time": "2026-05-31T13:22:40.522104813Z"
-    },
     "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:01.926569Z",
-     "iopub.status.busy": "2026-05-31T13:29:01.926367Z",
-     "iopub.status.idle": "2026-05-31T13:29:01.929974Z",
-     "shell.execute_reply": "2026-05-31T13:29:01.929256Z"
+     "iopub.execute_input": "2026-05-31T13:42:51.209939Z",
+     "iopub.status.busy": "2026-05-31T13:42:51.209737Z",
+     "iopub.status.idle": "2026-05-31T13:42:51.213230Z",
+     "shell.execute_reply": "2026-05-31T13:42:51.212592Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:38.915386126Z",
+     "start_time": "2026-05-31T13:57:38.861262921Z"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "sequences shape : (1, 20, 40)  →  1 sequence of 20 chars\n"
-     ]
-    }
-   ],
    "source": [
     "# ── Prepare sequences for StackRnn ─────────────────────────────────────────\n",
     "sequences = sensory_np[np_cpu.newaxis, :, :]   # (1, 20, 40)\n",
     "print(f\"sequences shape : {sequences.shape}  →  1 sequence of {N_SAMPLES} chars\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "c33-0006",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:22:40.693389541Z",
-     "start_time": "2026-05-31T13:22:40.581860790Z"
-    },
-    "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:01.931570Z",
-     "iopub.status.busy": "2026-05-31T13:29:01.931406Z",
-     "iopub.status.idle": "2026-05-31T13:29:02.037412Z",
-     "shell.execute_reply": "2026-05-31T13:29:02.036520Z"
-    }
-   },
+   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mode       : shared\n",
-      "Visible    : 128 (context) + 40 (sensory) = 168\n",
-      "Hidden     : 128\n",
-      "Parameters : 21,504\n"
+      "sequences shape : (1, 180, 40)  →  1 sequence of 180 chars\n"
      ]
     }
    ],
+   "execution_count": 5
+  },
+  {
+   "cell_type": "code",
+   "id": "c33-0006",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T13:42:51.215346Z",
+     "iopub.status.busy": "2026-05-31T13:42:51.215163Z",
+     "iopub.status.idle": "2026-05-31T13:42:51.319714Z",
+     "shell.execute_reply": "2026-05-31T13:42:51.319006Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T13:57:39.033277512Z",
+     "start_time": "2026-05-31T13:57:38.916167712Z"
+    }
+   },
    "source": [
     "# ── Build model ────────────────────────────────────────────────────────────\n",
     "rnn = StackRnn(PRJ_NAME, WORK_DIR)\n",
@@ -244,136 +211,36 @@
     "print(f\"Visible    : {rnn.h_size()} (context) + {rnn.sensory_size()} (sensory) = {e.shape[0]}\")\n",
     "print(f\"Hidden     : {rnn.h_size()}\")\n",
     "print(f\"Parameters : {e.shape[0] * e.shape[1]:,}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "c33-0007",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:23:41.130302008Z",
-     "start_time": "2026-05-31T13:22:40.695146047Z"
-    },
-    "execution": {
-     "iopub.execute_input": "2026-05-31T13:29:02.039109Z",
-     "iopub.status.busy": "2026-05-31T13:29:02.038931Z",
-     "iopub.status.idle": "2026-05-31T13:30:46.898008Z",
-     "shell.execute_reply": "2026-05-31T13:30:46.897173Z"
-    }
-   },
+   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 0%\n",
-      "Entity-168x128: err_rms              : 0.006513810748197312\n",
-      "Entity-168x128: l2_norm              : 0.16668707179363768\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 10%\n",
-      "Entity-168x128: err_rms              : 0.005327613080843449\n",
-      "Entity-168x128: l2_norm              : 2.1248952398421848\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 20%\n",
-      "Entity-168x128: err_rms              : 0.0022508816936137495\n",
-      "Entity-168x128: l2_norm              : 7.285520227496324\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 30%\n",
-      "Entity-168x128: err_rms              : 0.00023891875964096135\n",
-      "Entity-168x128: l2_norm              : 11.942612143538451\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 40%\n",
-      "Entity-168x128: err_rms              : 0.0003654588775567404\n",
-      "Entity-168x128: l2_norm              : 14.038897529481288\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 50%\n",
-      "Entity-168x128: err_rms              : 0.0005439847855184065\n",
-      "Entity-168x128: l2_norm              : 15.413432769275325\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 60%\n",
-      "Entity-168x128: err_rms              : 4.005501369432108e-05\n",
-      "Entity-168x128: l2_norm              : 16.458922493692164\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 70%\n",
-      "Entity-168x128: err_rms              : 1.826141900561072e-05\n",
-      "Entity-168x128: l2_norm              : 17.16704910391379\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 80%\n",
-      "Entity-168x128: err_rms              : 1.072283482720063e-05\n",
-      "Entity-168x128: l2_norm              : 17.9025294873916\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 90%\n",
-      "Entity-168x128: err_rms              : 1.808959411651762e-05\n",
-      "Entity-168x128: l2_norm              : 18.510211685821016\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-------------------------------------------\n",
-      "Entity-168x128: progress              : 100%\n",
-      "Entity-168x128: err_rms              : 1.8806019913429117e-05\n",
-      "Entity-168x128: l2_norm              : 19.03956209476975\n"
+      "Mode       : shared\n",
+      "Visible    : 128 (context) + 40 (sensory) = 168\n",
+      "Hidden     : 128\n",
+      "Parameters : 21,504\n"
      ]
     }
    ],
+   "execution_count": 6
+  },
+  {
+   "cell_type": "code",
+   "id": "c33-0007",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T13:42:51.321630Z",
+     "iopub.status.busy": "2026-05-31T13:42:51.321423Z",
+     "iopub.status.idle": "2026-05-31T13:44:35.697232Z",
+     "shell.execute_reply": "2026-05-31T13:44:35.696410Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T14:13:33.465818984Z",
+     "start_time": "2026-05-31T13:57:39.034495646Z"
+    }
+   },
    "source": [
     "# ── Train: predict next character from current context ─────────────────────\n",
     "# Pairs used: (h_t, x_{t+1})\n",
@@ -421,35 +288,76 @@
     "            break\n",
     "\n",
     "rnn.state_save()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "c33-0008",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:23:41.188793248Z",
-     "start_time": "2026-05-31T13:23:41.131570611Z"
-    },
-    "execution": {
-     "iopub.execute_input": "2026-05-31T13:30:46.899659Z",
-     "iopub.status.busy": "2026-05-31T13:30:46.899504Z",
-     "iopub.status.idle": "2026-05-31T13:30:46.946219Z",
-     "shell.execute_reply": "2026-05-31T13:30:46.945561Z"
-    }
-   },
+   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Input        : 'MOBY DICK IS A WHALE'\n",
-      "Reconstruction: 'KOBY DICK IS A WHALE'\n",
-      "Char accuracy : 19/20 = 95%\n"
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 0%\n",
+      "Entity-168x128: err_rms              : 0.005378640847885016\n",
+      "Entity-168x128: l2_norm              : 0.3832858163328573\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 10%\n",
+      "Entity-168x128: err_rms              : 0.004888029606164829\n",
+      "Entity-168x128: l2_norm              : 37.943563674580545\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 20%\n",
+      "Entity-168x128: err_rms              : 0.004586658254152343\n",
+      "Entity-168x128: l2_norm              : 62.68289402335654\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 30%\n",
+      "Entity-168x128: err_rms              : 0.0029227696643319935\n",
+      "Entity-168x128: l2_norm              : 77.592210060179\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 40%\n",
+      "Entity-168x128: err_rms              : 0.0033848746808303183\n",
+      "Entity-168x128: l2_norm              : 87.52545196132891\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 50%\n",
+      "Entity-168x128: err_rms              : 0.0031435271125311573\n",
+      "Entity-168x128: l2_norm              : 94.6793236343037\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 60%\n",
+      "Entity-168x128: err_rms              : 0.002912863154656583\n",
+      "Entity-168x128: l2_norm              : 101.0458096406675\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 70%\n",
+      "Entity-168x128: err_rms              : 0.0026133215611993344\n",
+      "Entity-168x128: l2_norm              : 108.17102558067306\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 80%\n",
+      "Entity-168x128: err_rms              : 0.0023368766544820717\n",
+      "Entity-168x128: l2_norm              : 114.27352128254557\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 90%\n",
+      "Entity-168x128: err_rms              : 0.0033621059271795742\n",
+      "Entity-168x128: l2_norm              : 118.8790801434613\n",
+      "-------------------------------------------\n",
+      "Entity-168x128: progress              : 100%\n",
+      "Entity-168x128: err_rms              : 0.0028362015980278044\n",
+      "Entity-168x128: l2_norm              : 123.1840443378905\n"
      ]
     }
    ],
+   "execution_count": 7
+  },
+  {
+   "cell_type": "code",
+   "id": "c33-0008",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T13:44:35.698954Z",
+     "iopub.status.busy": "2026-05-31T13:44:35.698747Z",
+     "iopub.status.idle": "2026-05-31T13:44:35.743964Z",
+     "shell.execute_reply": "2026-05-31T13:44:35.743294Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T14:13:33.829642525Z",
+     "start_time": "2026-05-31T14:13:33.467124588Z"
+    }
+   },
    "source": [
     "# ── Reconstruction: teacher-forced ─────────────────────────────────────────\n",
     "# Step through each sample, reconstruct, compare to input.\n",
@@ -469,82 +377,68 @@
     "\n",
     "correct = sum(decoded[i] == decoded_recon[i] for i in range(N_SAMPLES))\n",
     "print(f\"Char accuracy : {correct}/{N_SAMPLES} = {100*correct/N_SAMPLES:.0f}%\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "c33-0009",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:23:41.447170202Z",
-     "start_time": "2026-05-31T13:23:41.189542593Z"
-    },
-    "execution": {
-     "iopub.execute_input": "2026-05-31T13:30:46.948165Z",
-     "iopub.status.busy": "2026-05-31T13:30:46.947978Z",
-     "iopub.status.idle": "2026-05-31T13:30:47.251185Z",
-     "shell.execute_reply": "2026-05-31T13:30:47.250343Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1400x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
    ],
-   "source": [
-    "# ── Visualise reconstruction ───────────────────────────────────────────────\n",
-    "fig, axes = plt.subplots(1, 2, figsize=(14, 3))\n",
-    "\n",
-    "axes[0].imshow(sensory_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\n",
-    "axes[0].set_title(f'Input: \"{decoded}\"')\n",
-    "axes[0].set_xticks(range(N_SAMPLES))\n",
-    "axes[0].set_xticklabels(list(decoded))\n",
-    "axes[0].set_ylabel('Vocab index')\n",
-    "\n",
-    "axes[1].imshow(recons_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\n",
-    "axes[1].set_title(f'Reconstruction: \"{decoded_recon}\"')\n",
-    "axes[1].set_xticks(range(N_SAMPLES))\n",
-    "axes[1].set_xticklabels(list(decoded_recon))\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "c33-0010",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-05-31T13:23:41.550688083Z",
-     "start_time": "2026-05-31T13:23:41.448385388Z"
-    },
-    "execution": {
-     "iopub.execute_input": "2026-05-31T13:30:47.253086Z",
-     "iopub.status.busy": "2026-05-31T13:30:47.252868Z",
-     "iopub.status.idle": "2026-05-31T13:30:47.404677Z",
-     "shell.execute_reply": "2026-05-31T13:30:47.403914Z"
-    }
-   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Input (t+1)         : 'OBY DICK IS A WHALE'\n",
-      "Predicted from h_t  : 'OIY DICK IS A WHALE'\n",
-      "Next-step accuracy  : 18/19 = 95%\n"
+      "Input        : 'CALL ME ISHMAEL. SOME YEARS AGO NEVER MIND HOW LONG PRECISELY HAVING LITTLE MONEY IN MY POCKET AND NOTHING PARTICULAR TO INTEREST ME ON SHORE I THOUGHT I WOULD SAIL ABOUT A LITTLE.'\n",
+      "Reconstruction: 'CALL ME ISHMAEL. SOME YEARS AGO NEVER MIND HOW LONG PRECISELY HAVING LITTLE MONEY IN MY POCKET AND NOTHING PARTICULARETO INTEREST ME ON SHORE I THOUGHT I WOULD SAIL ABOUT A LITTLE.'\n",
+      "Char accuracy : 179/180 = 99%\n"
      ]
     }
    ],
+   "execution_count": 8
+  },
+  {
+   "cell_type": "code",
+   "id": "c33-0009",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T13:44:35.745972Z",
+     "iopub.status.busy": "2026-05-31T13:44:35.745781Z",
+     "iopub.status.idle": "2026-05-31T13:44:36.051662Z",
+     "shell.execute_reply": "2026-05-31T13:44:36.050823Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T14:13:34.318617319Z",
+     "start_time": "2026-05-31T14:13:33.830853549Z"
+    }
+   },
+   "source": "# ── Visualise reconstruction ───────────────────────────────────────────────\nstep = max(1, N_SAMPLES // 40)\ntick_pos = range(0, N_SAMPLES, step)\n\nfig, axes = plt.subplots(1, 2, figsize=(16, 3))\n\naxes[0].imshow(sensory_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\naxes[0].set_title(f'Input ({N_SAMPLES} chars)')\naxes[0].set_xticks(tick_pos)\naxes[0].set_xticklabels([decoded[i] for i in tick_pos], fontsize=8)\naxes[0].set_ylabel('Vocab index')\n\naxes[1].imshow(recons_np.T, aspect='auto', cmap='Blues', vmin=0, vmax=1)\naxes[1].set_title(f'Reconstruction (acc {100*correct/N_SAMPLES:.0f}%)')\naxes[1].set_xticks(tick_pos)\naxes[1].set_xticklabels([decoded_recon[i] for i in tick_pos], fontsize=8)\n\nplt.tight_layout()\nplt.show()",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1600x300 with 2 Axes>"
+      ],
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 9
+  },
+  {
+   "cell_type": "code",
+   "id": "c33-0010",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-05-31T13:44:36.053484Z",
+     "iopub.status.busy": "2026-05-31T13:44:36.053314Z",
+     "iopub.status.idle": "2026-05-31T13:44:36.198793Z",
+     "shell.execute_reply": "2026-05-31T13:44:36.197851Z"
+    },
+    "ExecuteTime": {
+     "end_time": "2026-05-31T14:13:35.558819364Z",
+     "start_time": "2026-05-31T14:13:34.319986996Z"
+    }
+   },
    "source": [
     "# ── Next-step prediction ───────────────────────────────────────────────────\n",
     "# Given h_t (context after seeing x_t), predict x_{t+1} via clamped Gibbs.\n",
@@ -576,7 +470,19 @@
     "print(f\"Predicted from h_t  : '{predicted}'\")\n",
     "correct = sum(decoded[i+1] == predicted[i] for i in range(N_SAMPLES - 1))\n",
     "print(f\"Next-step accuracy  : {correct}/{N_SAMPLES-1} = {100*correct/(N_SAMPLES-1):.0f}%\")"
-   ]
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Input (t+1)         : 'ALL ME ISHMAEL. SOME YEARS AGO NEVER MIND HOW LONG PRECISELY HAVING LITTLE MONEY IN MY POCKET AND NOTHING PARTICULAR TO INTEREST ME ON SHORE I THOUGHT I WOULD SAIL ABOUT A LITTLE.'\n",
+      "Predicted from h_t  : 'AOEGML ONIOAEL.OSEMATOOLRT RGE IEVRR   NDOHOWHAENG PRECO EEY HALARTAI TTEE MONEYHIN MY PACKEY EID HR.HIPE PROKHC.MORE.S IIDARETTLME ON EHOTE  NTHHUGESOITWIU D EAIL ABOOT H LROTLE.'\n",
+      "Next-step accuracy  : 101/179 = 56%\n"
+     ]
+    }
+   ],
+   "execution_count": 10
   }
  ],
  "metadata": {