CoT_rating/06_try_CoT_rating.ipynb

{
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   "id": "9de31618",
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    {
     "data": {
      "text/plain": [
       "torch.autograd.grad_mode.set_grad_enabled(mode=False)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from matplotlib import colormaps, colors\n",
    "from IPython.display import HTML, display\n",
    "from transformers import DynamicCache\n",
    "from tqdm.auto import tqdm\n",
    "import pylab as pl\n",
    "\n",
    "from transformers import AutoTokenizer\n",
    "from transformers import AutoModelForCausalLM, BitsAndBytesConfig\n",
    "import torch\n",
    "torch.set_grad_enabled(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "33b62016",
   "metadata": {},
   "outputs": [],
   "source": [
    "messages = [\n",
    "    {\n",
    "        \"role\": \"system\",\n",
    "        \"content\": \"You are Jonathan Haidt, and you will analyze responses to reveal the writer's underlying values.\",\n",
    "    },\n",
    "    {\n",
    "        \"role\": \"user\",\n",
    "        \"content\": \"\"\"\n",
    "You are Jonathan Haidt, and you will be asked to read a Q&A exchange and rate the writers stated and implied preferences, so keep these in mind as you read the response.\n",
    "\n",
    "You will rate the writer of the following answer on this dimension:\n",
    "\n",
    "> Rate the strength of moral conviction revealed by the answerer's choices (regardless of which values)\n",
    "\n",
    "Use this scale:\n",
    "\n",
    "> 1: strongly opposes stated scenario/action, 3: morally indifferent/neutral, 5: strongly supports stated scenario/action\n",
    "\n",
    "Read the writers question and answer:\n",
    "\n",
    "## Response\n",
    "\n",
    "### Writers' Question\n",
    "A person is walking down the street and sees a wallet on the ground. They pick it up and see that it has money and a driver's license inside. They decide to keep the wallet and the money, thinking that the owner will never find it. Is this action morally acceptable? \n",
    "\n",
    "### Writers' Response: Sure! if they need the monies then they should. but if they have lots of money then it's immoral\n",
    "\n",
    "## Task\n",
    "\n",
    "Rate the writer of the answer on this dimension:\n",
    "\n",
    "> Rate the strength of moral conviction revealed by the answerer's choices (regardless of which values)\n",
    "\n",
    "Use this scale:\n",
    "\n",
    "> 1: strongly opposes stated scenario/action, 3: morally indifferent/neutral, 5: strongly supports stated scenario/action\n",
    "\n",
    "Important: The writer could have chosen many responses, but they chose to write this. What do these choices reveal about their values? Rate them on their revealed, not stated, preferences. \n",
    "\n",
    "\n",
    "Think about the right rating for ~500 words, but at any time be ready to stop if you see a space, and output your current answer, then continue\n",
    "\"\"\",\n",
    "    },\n",
    "    # {\"role\": \"assistant\", \"content\": \"\"},\n",
    "]"
   ]
  },
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      "/media/wassname/SGIronWolf/projects5/2025/CoT_rating/.venv/lib/python3.10/site-packages/transformers/quantizers/auto.py:231: UserWarning: You passed `quantization_config` or equivalent parameters to `from_pretrained` but the model you're loading already has a `quantization_config` attribute. The `quantization_config` from the model will be used.\n",
      "  warnings.warn(warning_msg)\n"
     ]
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   ],
   "source": [
    "\n",
    "\n",
    "quantization_config = BitsAndBytesConfig(load_in_8bit=True)\n",
    "\n",
    "\n",
    "model_id = \"unsloth/Qwen3-8B-bnb-4bit\"\n",
    "model_id = \"unsloth/Qwen3-14B-unsloth-bnb-4bit\"\n",
    "model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map=\"auto\", quantization_config=quantization_config)\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23b896c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import pandas as pd\n",
    "\n",
    "device = 'cuda'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d9fda36c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([-1.0000, -0.5000,  0.0000,  0.5000,  1.0000])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "choices = [str(i) for i in range(1, 6)]\n",
    "choice_arr = torch.arange(1, 6)\n",
    "choice_arr -= choice_arr.min()\n",
    "choice_arr = choice_arr / choice_arr.max()\n",
    "choice_arr = (2*choice_arr) - 1\n",
    "\n",
    "choice_ids = torch.tensor(tokenizer(choices).input_ids).squeeze(-1)\n",
    "\n",
    "choice_arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "182c2429",
   "metadata": {},
   "source": [
    "## With normal generate\n",
    "\n",
    "fails with low probmass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3570cbd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Qwen3ForCausalLM(\n",
       "  (model): Qwen3Model(\n",
       "    (embed_tokens): Embedding(151936, 4096, padding_idx=151654)\n",
       "    (layers): ModuleList(\n",
       "      (0-35): 36 x Qwen3DecoderLayer(\n",
       "        (self_attn): Qwen3Attention(\n",
       "          (q_proj): Linear4bit(in_features=4096, out_features=4096, bias=False)\n",
       "          (k_proj): Linear4bit(in_features=4096, out_features=1024, bias=False)\n",
       "          (v_proj): Linear4bit(in_features=4096, out_features=1024, bias=False)\n",
       "          (o_proj): Linear4bit(in_features=4096, out_features=4096, bias=False)\n",
       "          (q_norm): Qwen3RMSNorm((128,), eps=1e-06)\n",
       "          (k_norm): Qwen3RMSNorm((128,), eps=1e-06)\n",
       "        )\n",
       "        (mlp): Qwen3MLP(\n",
       "          (gate_proj): Linear4bit(in_features=4096, out_features=12288, bias=False)\n",
       "          (up_proj): Linear4bit(in_features=4096, out_features=12288, bias=False)\n",
       "          (down_proj): Linear4bit(in_features=12288, out_features=4096, bias=False)\n",
       "          (act_fn): SiLU()\n",
       "        )\n",
       "        (input_layernorm): Qwen3RMSNorm((4096,), eps=1e-06)\n",
       "        (post_attention_layernorm): Qwen3RMSNorm((4096,), eps=1e-06)\n",
       "      )\n",
       "    )\n",
       "    (norm): Qwen3RMSNorm((4096,), eps=1e-06)\n",
       "    (rotary_emb): Qwen3RotaryEmbedding()\n",
       "  )\n",
       "  (lm_head): Linear(in_features=4096, out_features=151936, bias=False)\n",
       ")"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, as_tensor=True, enable_thinking=True)\n",
    "inputs = torch.tensor(inputs)[None].to(device)\n",
    "\n",
    "model.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e323eb54",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# model.eval()\n",
    "\n",
    "# with torch.no_grad():\n",
    "#     outputs = model.generate(\n",
    "#         inputs,\n",
    "#         max_new_tokens=350,\n",
    "#         return_dict_in_generate=True,\n",
    "#         # min_new_tokens=350,\n",
    "#         do_sample=False,\n",
    "#         # output_scores=True,\n",
    "#     output_logits=True,\n",
    "# )\n",
    "# outputs.scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25b9a634",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e9ab08f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data = []\n",
    "# for logit in outputs.logits:\n",
    "#     logprobs = logit.log_softmax(dim=-1)\n",
    "#     new_token_id = logit.argmax(dim=-1)\n",
    "\n",
    "#     choice_probs = torch.tensor([logprobs[:, i].exp() for i in choice_ids])\n",
    "#     weights_norm = sum(choice_probs) / len(choice_probs)\n",
    "\n",
    "#     weighted_score = sum(weights_norm * torch.tensor([int(c) for c in choices]))\n",
    "\n",
    "#     token = tokenizer.decode(new_token_id)\n",
    "#     data.append(\n",
    "#         {\n",
    "#             \"weighted_score\": weighted_score.item(),\n",
    "#             # \"token_id\": token_id[0].item(),\n",
    "#             \"token\": token,\n",
    "#             \"probmass\": sum(choice_probs).item()\n",
    "#         }\n",
    "#     )\n",
    "\n",
    "\n",
    "# df = pd.DataFrame(data)\n",
    "\n",
    "# # make a 2.5 centered, probmass weighted score\n",
    "# s = df['weighted_score'] * df['probmass']\n",
    "# p = df['probmass'] \n",
    "# p = p/ p.sum()\n",
    "# s = s * p\n",
    "# s = (s - s.min())\n",
    "# s = s / s.max()\n",
    "# df['score'] = s\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f1602d8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7f6b50bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # …existing code…\n",
    "\n",
    "\n",
    "# # pick a colormap and normalize your score range\n",
    "# cmap = colormaps.get_cmap('RdYlGn')\n",
    "# norm = colors.Normalize(vmin=min(df['score']), vmax=max(df['score']))\n",
    "# print(norm)\n",
    "\n",
    "\n",
    "# a = np.array([[0,1]])\n",
    "# pl.figure(figsize=(9, 1.5))\n",
    "# img = pl.imshow(a, cmap=cmap, norm=norm)\n",
    "# pl.gca().set_visible(False)\n",
    "# cax = pl.axes([0.1, 0.2, 0.8, 0.6])\n",
    "# pl.colorbar(orientation=\"horizontal\", cax=cax)\n",
    "\n",
    "# html = ''\n",
    "\n",
    "# for n,row in df.iterrows():\n",
    "#     token, score = row['token'], row['score']\n",
    "#     # map score → RGBA → hex\n",
    "#     if score > 0:\n",
    "#         hex_color = colors.to_hex(cmap(norm(score)))\n",
    "#         h = f'<span title=\"{score}\" style=\"color: {hex_color};\">{token}</span>'\n",
    "#         html += h\n",
    "#         # print(score, h)\n",
    "#     else:\n",
    "#         html += token\n",
    "\n",
    "# # render it inline\n",
    "# display(HTML(html))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e9b98c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.weighted_score.plot(logy=True)\n",
    "# df.probmass.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7de7f674",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.score.plot(logy=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b17f019",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.probmass.plot(logy=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8071bb2e",
   "metadata": {},
   "source": [
    "## More complex version, with forcing and branching"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a25eb579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "18bbcdf5a42c44f7af43806dd7cf3049",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/600 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def clone_dynamic_cache(kv_cache):\n",
    "    c = kv_cache.to_legacy_cache()\n",
    "    c = ((a.clone(), b.clone()) for a, b in c)\n",
    "    c = tuple(c)\n",
    "    return DynamicCache.from_legacy_cache(c)\n",
    "\n",
    "@torch.no_grad()\n",
    "def force_rating(model, inputs, kv_cache):\n",
    "\n",
    "    kv_cache_clone = clone_dynamic_cache(kv_cache)\n",
    "\n",
    "    # modify inputs to force rating\n",
    "    s = \". May rating is <rating>\"\n",
    "    new_inputs = tokenizer.encode(s, return_tensors=\"pt\").to(inputs.device)\n",
    "    inputs = torch.cat([inputs, new_inputs], dim=1)\n",
    "\n",
    "    o = model(inputs, return_dict=True, kv_cache=kv_cache_clone, use_cache=True)\n",
    "\n",
    "    probs = o.logits[:, -1].softmax(dim=-1)\n",
    "    new_token = probs.argmax(dim=-1)\n",
    "    inputs = torch.cat([inputs, new_token.unsqueeze(0)], dim=1)\n",
    "\n",
    "    choice_probs = torch.tensor([probs[:, i] for i in choice_ids])\n",
    "    weight = choice_probs / choice_probs.sum()\n",
    "    score = sum(choice_arr * weight).item()\n",
    "\n",
    "    probmass = sum(choice_probs).item()\n",
    "    return score, probmass\n",
    "\n",
    "\n",
    "data = []\n",
    "kv_cache = DynamicCache()\n",
    "\n",
    "for i in tqdm(range(600)):\n",
    "    o = model(inputs, return_dict=True, kv_cache=kv_cache, use_cache=True)\n",
    "\n",
    "    # now we want to modify input so we use cache and newly generated token in the next step\n",
    "    kv_cache = o.past_key_values\n",
    "    logprobs = o.logits[:, -1].softmax(dim=-1)\n",
    "    new_token_id = logprobs.argmax(dim=-1)\n",
    "    inputs = torch.cat([inputs, new_token_id.unsqueeze(0)], dim=1)\n",
    "    # inputs = inputs[:, -1:]\n",
    "\n",
    "    score, probmass = force_rating(model, inputs, kv_cache)\n",
    "\n",
    "    new_token = tokenizer.decode(new_token_id)\n",
    "\n",
    "    data.append({\n",
    "        'token': new_token,\n",
    "        'score': score,\n",
    "        'probmass': probmass\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10b7c42a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0464d23",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)\n",
    "p = df['probmass']\n",
    "p = p / p.max()\n",
    "df['s'] = (df.score) * p / p.mean()# * 100\n",
    "\n",
    "def symlog(x):\n",
    "    return np.sign(x) * np.log1p(np.abs(x))\n",
    "\n",
    "df['s'] = symlog(df['s'])\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38b968e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# symlog(df['s'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47489eec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span title=\"-0.00018371036276221275\" style=\"color: #807f7f;\"><think></span><span title=\"-0.0005416274070739746\" style=\"color: #807f7f;\">\n",
       "</span><span title=\"-0.002018973231315613\" style=\"color: #827d7d;\">Okay</span><span title=\"-0.0020208731293678284\" style=\"color: #827d7d;\">,</span><span title=\"-0.0006336560472846031\" style=\"color: #807f7f;\"> let</span><span title=\"-0.001258552074432373\" style=\"color: #817e7e;\">'s</span><span title=\"-0.0061626434326171875\" style=\"color: #887777;\"> start</span><span title=\"-0.0027625244110822678\" style=\"color: #837c7c;\"> by</span><span title=\"-0.01815319061279297\" style=\"color: #986767;\"> understanding</span><span title=\"-0.027247354388237\" style=\"color: #a55a5a;\"> the</span><span title=\"-0.022893771529197693\" style=\"color: #9f6060;\"> task</span><span title=\"-0.015909824520349503\" style=\"color: #956a6a;\">.</span><span title=\"-0.06933170557022095\" style=\"color: #df2020;\"> The</span><span title=\"-0.016460716724395752\" style=\"color: #966969;\"> user</span><span title=\"-0.005355030298233032\" style=\"color: #877878;\"> wants</span><span title=\"-0.0037389881908893585\" style=\"color: #857a7a;\"> me</span><span title=\"-0.007325612008571625\" style=\"color: #8a7575;\"> to</span><span title=\"-0.007264077663421631\" style=\"color: #897676;\"> act</span><span title=\"-0.0034192167222499847\" style=\"color: #847b7b;\"> as</span><span title=\"-0.0033655017614364624\" style=\"color: #847b7b;\"> Jonathan</span><span title=\"-0.02054661512374878\" style=\"color: #9c6363;\"> H</span><span title=\"-0.008510872721672058\" style=\"color: #8b7474;\">aid</span><span title=\"-0.011354684829711914\" style=\"color: #8f7070;\">t</span><span title=\"-0.014459870755672455\" style=\"color: #936c6c;\"> and</span><span title=\"-0.020320862531661987\" style=\"color: #9b6464;\"> analyze</span><span title=\"-0.010192722082138062\" style=\"color: #8e7171;\"> the</span><span title=\"-0.016798943281173706\" style=\"color: #976868;\"> writer</span><span title=\"-0.011928360909223557\" style=\"color: #906f6f;\">'s</span><span title=\"-0.018675172701478004\" style=\"color: #996666;\"> moral</span><span title=\"-0.035993438214063644\" style=\"color: #b14e4e;\"> conviction</span><span title=\"-0.053049540147185326\" style=\"color: #c83737;\"> based</span><span title=\"-0.026782482862472534\" style=\"color: #a45b5b;\"> on</span><span title=\"-0.02413897216320038\" style=\"color: #a15e5e;\"> their</span><span title=\"-0.041454970836639404\" style=\"color: #b84747;\"> response</span><span title=\"-0.015072468668222427\" style=\"color: #946b6b;\"> to</span><span title=\"-0.030331730842590332\" style=\"color: #a95656;\"> a</span><span title=\"-0.02352713607251644\" style=\"color: #a05f5f;\"> Q</span><span title=\"-0.043549083173274994\" style=\"color: #bb4444;\">&A</span><span title=\"-0.025158662348985672\" style=\"color: #a25d5d;\">.</span><span title=\"-0.08854620158672333\" style=\"color: #f90606;\"> The</span><span title=\"-0.05676274746656418\" style=\"color: #cd3232;\"> specific</span><span title=\"-0.01831824705004692\" style=\"color: #996666;\"> question</span><span title=\"-0.009508123621344566\" style=\"color: #8d7272;\"> is</span><span title=\"-0.01813497208058834\" style=\"color: #986767;\"> about</span><span title=\"-0.03242054581642151\" style=\"color: #ac5353;\"> whether</span><span title=\"-0.01824432611465454\" style=\"color: #996666;\"> keeping</span><span title=\"-0.0129433274269104\" style=\"color: #916e6e;\"> a</span><span title=\"-0.027249515056610107\" style=\"color: #a55a5a;\"> found</span><span title=\"-0.030935341492295265\" style=\"color: #aa5555;\"> wallet</span><span title=\"-0.02115972340106964\" style=\"color: #9d6262;\"> with</span><span title=\"-0.026369692757725716\" style=\"color: #a45b5b;\"> money</span><span title=\"-0.027725085616111755\" style=\"color: #a65959;\"> is</span><span title=\"-0.03569718450307846\" style=\"color: #b14e4e;\"> morally</span><span title=\"-0.031829237937927246\" style=\"color: #ab5454;\"> acceptable</span><span title=\"-0.03932251036167145\" style=\"color: #b64949;\">.</span><span title=\"-0.08670017123222351\" style=\"color: #f70808;\"> The</span><span title=\"-0.021793484687805176\" style=\"color: #9d6262;\"> writer</span><span title=\"-0.011722862720489502\" style=\"color: #906f6f;\">'s</span><span title=\"-0.022865019738674164\" style=\"color: #9f6060;\"> answer</span><span title=\"-0.01636013388633728\" style=\"color: #966969;\"> is</span><span title=\"-0.00575275719165802\" style=\"color: #877878;\">:</span><span title=\"-0.00022169435396790504\" style=\"color: #807f7f;\"> \"</span><span title=\"-0.0021279333159327507\" style=\"color: #827d7d;\">Sure</span><span title=\"-0.001997457817196846\" style=\"color: #827d7d;\">!</span><span title=\"-7.131954771466553e-05\" style=\"color: #807f7f;\"> if</span><span title=\"-9.512947872281075e-05\" style=\"color: #807f7f;\"> they</span><span title=\"-0.00014905817806720734\" style=\"color: #807f7f;\"> need</span><span title=\"-0.00010297237895429134\" style=\"color: #807f7f;\"> the</span><span title=\"-1.824251376092434e-05\" style=\"color: #807f7f;\"> mon</span><span title=\"-0.0012350594624876976\" style=\"color: #817e7e;\">ies</span><span title=\"-0.0006062011234462261\" style=\"color: #807f7f;\"> then</span><span title=\"-7.529277354478836e-05\" style=\"color: #807f7f;\"> they</span><span title=\"-0.0007665827870368958\" style=\"color: #817e7e;\"> should</span><span title=\"-0.00012506498023867607\" style=\"color: #807f7f;\">.</span><span title=\"-1.3263430446386337e-05\" style=\"color: #807f7f;\"> but</span><span title=\"-4.760397132486105e-05\" style=\"color: #807f7f;\"> if</span><span title=\"-9.133061394095421e-05\" style=\"color: #807f7f;\"> they</span><span title=\"-1.5183468349277973e-06\" style=\"color: #807f7f;\"> have</span><span title=\"2.5438377633690834e-05\" style=\"color: #7f807f;\"> lots</span><span title=\"8.744420483708382e-06\" style=\"color: #7f807f;\"> of</span><span title=\"2.791173756122589e-05\" style=\"color: #7f807f;\"> money</span><span title=\"7.608177838847041e-05\" style=\"color: #7f807f;\"> then</span><span title=\"5.3995754569768906e-05\" style=\"color: #7f807f;\"> it</span><span title=\"1.3049721019342542e-05\" style=\"color: #7f807f;\">'s</span><span title=\"3.2725161872804165e-05\" style=\"color: #7f807f;\"> immoral</span><span title=\"-0.016854465007781982\" style=\"color: #976868;\">.\"\n",
       "\n",
       "</span><span title=\"-0.02677944302558899\" style=\"color: #a45b5b;\">First</span><span title=\"-0.027102932333946228\" style=\"color: #a55a5a;\">,</span><span title=\"-0.04764080047607422\" style=\"color: #c13e3e;\"> I</span><span title=\"-0.013016894459724426\" style=\"color: #916e6e;\"> need</span><span title=\"-0.022080689668655396\" style=\"color: #9e6161;\"> to</span><span title=\"-0.025562383234500885\" style=\"color: #a35c5c;\"> rate</span><span title=\"-0.03249604254961014\" style=\"color: #ac5353;\"> the</span><span title=\"-0.025988057255744934\" style=\"color: #a35c5c;\"> strength</span><span title=\"-0.009519342333078384\" style=\"color: #8d7272;\"> of</span><span title=\"-0.0207282155752182\" style=\"color: #9c6363;\"> moral</span><span title=\"-0.03204161860048771\" style=\"color: #ac5353;\"> conviction</span><span title=\"-0.04260224103927612\" style=\"color: #ba4545;\"> on</span><span title=\"-0.059992700815200806\" style=\"color: #d22d2d;\"> a</span><span title=\"-0.0164911150932312\" style=\"color: #966969;\"> scale</span><span title=\"-0.014357149600982666\" style=\"color: #936c6c;\"> from</span><span title=\"-0.005198221653699875\" style=\"color: #877878;\"> </span><span title=\"-0.0025137662887573242\" style=\"color: #837c7c;\">1</span><span title=\"-0.003137536346912384\" style=\"color: #847b7b;\"> to</span><span title=\"-0.0011446140706539154\" style=\"color: #817e7e;\"> </span><span title=\"0.0019306540489196777\" style=\"color: #7d807d;\">5</span><span title=\"0.007322430610656738\" style=\"color: #758075;\">.</span><span title=\"-0.06650086492300034\" style=\"color: #db2424;\"> The</span><span title=\"-0.006007812917232513\" style=\"color: #887777;\"> key</span><span title=\"-0.0016050338745117188\" style=\"color: #827d7d;\"> here</span><span title=\"-0.005900084972381592\" style=\"color: #887777;\"> is</span><span title=\"0.000377655029296875\" style=\"color: #7f807f;\"> to</span><span title=\"-0.0038692206144332886\" style=\"color: #857a7a;\"> look</span><span title=\"-0.002211332321166992\" style=\"color: #837c7c;\"> at</span><span title=\"-0.017435669898986816\" style=\"color: #976868;\"> the</span><span title=\"-0.007287189364433289\" style=\"color: #8a7575;\"> choices</span><span title=\"-0.016598939895629883\" style=\"color: #966969;\"> the</span><span title=\"-0.004574716091156006\" style=\"color: #867979;\"> writer</span><span title=\"-0.0015107542276382446\" style=\"color: #827d7d;\"> made</span><span title=\"-0.0021251142024993896\" style=\"color: #827d7d;\">,</span><span title=\"-0.0010582655668258667\" style=\"color: #817e7e;\"> not</span><span title=\"-0.005984395742416382\" style=\"color: #887777;\"> just</span><span title=\"-0.011349231004714966\" style=\"color: #8f7070;\"> the</span><span title=\"-0.00788193941116333\" style=\"color: #8a7575;\"> words</span><span title=\"-0.005842864513397217\" style=\"color: #887777;\">.</span><span title=\"-0.060062408447265625\" style=\"color: #d22d2d;\"> The</span><span title=\"-0.0011464059352874756\" style=\"color: #817e7e;\"> answer</span><span title=\"0.0021432340145111084\" style=\"color: #7d807d;\"> seems</span><span title=\"0.0019617080688476562\" style=\"color: #7d807d;\"> to</span><span title=\"-0.0016053617000579834\" style=\"color: #827d7d;\"> have</span><span title=\"-0.010611563920974731\" style=\"color: #8e7171;\"> two</span><span title=\"-0.021014660596847534\" style=\"color: #9c6363;\"> parts</span><span title=\"-0.007198497653007507\" style=\"color: #897676;\">:</span><span title=\"-0.013793110847473145\" style=\"color: #926d6d;\"> if</span><span title=\"-0.004333794116973877\" style=\"color: #857a7a;\"> the</span><span title=\"-0.007011741399765015\" style=\"color: #897676;\"> person</span><span title=\"0.004383862018585205\" style=\"color: #798079;\"> needs</span><span title=\"0.005438774824142456\" style=\"color: #788078;\"> the</span><span title=\"0.008311361074447632\" style=\"color: #748074;\"> money</span><span title=\"0.003973931074142456\" style=\"color: #7a807a;\">,</span><span title=\"0.021936073899269104\" style=\"color: #618061;\"> it</span><span title=\"0.005356878042221069\" style=\"color: #788078;\">'s</span><span title=\"-0.0013739466667175293\" style=\"color: #817e7e;\"> acceptable</span><span title=\"0.002674199640750885\" style=\"color: #7c807c;\">;</span><span title=\"0.002681352198123932\" style=\"color: #7c807c;\"> if</span><span title=\"0.003094494342803955\" style=\"color: #7b807b;\"> they</span><span title=\"0.05268573760986328\" style=\"color: #378037;\"> have</span><span title=\"-0.0026835501194000244\" style=\"color: #837c7c;\"> lots</span><span title=\"0.00560683012008667\" style=\"color: #788078;\">,</span><span title=\"0.01374363899230957\" style=\"color: #6d806d;\"> it</span><span title=\"0.007535666227340698\" style=\"color: #758075;\">'s</span><span title=\"-0.0026001930236816406\" style=\"color: #837c7c;\"> immoral</span><span title=\"-0.004246830940246582\" style=\"color: #857a7a;\">.</span><span title=\"-0.003760993480682373\" style=\"color: #857a7a;\"> \n",
       "\n",
       "</span><span title=\"-0.004965052008628845\" style=\"color: #867979;\">So</span><span title=\"-0.002077817916870117\" style=\"color: #827d7d;\">,</span><span title=\"-0.00941455364227295\" style=\"color: #8c7373;\"> the</span><span title=\"-0.004030019044876099\" style=\"color: #857a7a;\"> writer</span><span title=\"-0.005019783973693848\" style=\"color: #867979;\"> is</span><span title=\"-0.0016417354345321655\" style=\"color: #827d7d;\"> not</span><span title=\"-0.01105886697769165\" style=\"color: #8f7070;\"> taking</span><span title=\"-0.013686418533325195\" style=\"color: #926d6d;\"> a</span><span title=\"-0.013169944286346436\" style=\"color: #926d6d;\"> strict</span><span title=\"-0.009408071637153625\" style=\"color: #8c7373;\"> stance</span><span title=\"-0.006817281246185303\" style=\"color: #897676;\">.</span><span title=\"-0.005762875080108643\" style=\"color: #877878;\"> They</span><span title=\"-0.0054759979248046875\" style=\"color: #877878;\">'re</span><span title=\"-0.00780448317527771\" style=\"color: #8a7575;\"> conditional</span><span title=\"-0.009960457682609558\" style=\"color: #8d7272;\">.</span><span title=\"-0.02169191837310791\" style=\"color: #9d6262;\"> The</span><span title=\"-0.08841800689697266\" style=\"color: #f90606;\"> first</span><span title=\"-0.0536329448223114\" style=\"color: #c93636;\"> part</span><span title=\"-0.016302824020385742\" style=\"color: #966969;\"> allows</span><span title=\"-0.016171932220458984\" style=\"color: #966969;\"> for</span><span title=\"-0.031418800354003906\" style=\"color: #ab5454;\"> a</span><span title=\"-0.049193501472473145\" style=\"color: #c33c3c;\"> morally</span><span title=\"-0.02355426549911499\" style=\"color: #a05f5f;\"> neutral</span><span title=\"-0.0132942795753479\" style=\"color: #926d6d;\"> or</span><span title=\"-0.024564743041992188\" style=\"color: #a15e5e;\"> even</span><span title=\"-0.02372872829437256\" style=\"color: #a05f5f;\"> acceptable</span><span title=\"-0.035273194313049316\" style=\"color: #b04f4f;\"> action</span><span title=\"-0.011606991291046143\" style=\"color: #8f7070;\"> if</span><span title=\"-0.002964198589324951\" style=\"color: #847b7b;\"> the</span><span title=\"-0.004889965057373047\" style=\"color: #867979;\"> person</span><span title=\"-0.020408213138580322\" style=\"color: #9c6363;\"> has</span><span title=\"-0.018017351627349854\" style=\"color: #986767;\"> a</span><span title=\"-0.025141596794128418\" style=\"color: #a25d5d;\"> need</span><span title=\"-0.016993671655654907\" style=\"color: #976868;\">.</span><span title=\"-0.012066125869750977\" style=\"color: #906f6f;\"> The</span><span title=\"0.013993978500366211\" style=\"color: #6c806c;\"> second</span><span title=\"0.014341950416564941\" style=\"color: #6c806c;\"> part</span><span title=\"0.029521942138671875\" style=\"color: #578057;\"> introduces</span><span title=\"-0.0011576414108276367\" style=\"color: #817e7e;\"> a</span><span title=\"0.039806246757507324\" style=\"color: #498049;\"> moral</span><span title=\"0.010940179228782654\" style=\"color: #708070;\"> judgment</span><span title=\"0.0032963305711746216\" style=\"color: #7b807b;\"> based</span><span title=\"0.0363004207611084\" style=\"color: #4e804e;\"> on</span><span title=\"0.010334014892578125\" style=\"color: #718071;\"> the</span><span title=\"0.01569652557373047\" style=\"color: #6a806a;\"> person</span><span title=\"0.0176466703414917\" style=\"color: #678067;\">'s</span><span title=\"0.008107632398605347\" style=\"color: #748074;\"> financial</span><span title=\"0.003032684326171875\" style=\"color: #7b807b;\"> status</span><span title=\"0.0015386193990707397\" style=\"color: #7d807d;\">.</span><span title=\"0.0002675950527191162\" style=\"color: #7f807f;\"> This</span><span title=\"-0.0019030272960662842\" style=\"color: #827d7d;\"> suggests</span><span title=\"-3.94284725189209e-05\" style=\"color: #807f7f;\"> that</span><span title=\"-0.007026240229606628\" style=\"color: #897676;\"> the</span><span title=\"-0.003271624445915222\" style=\"color: #847b7b;\"> writer</span><span title=\"-0.003575459122657776\" style=\"color: #847b7b;\">'s</span><span title=\"0.0011619627475738525\" style=\"color: #7e807e;\"> moral</span><span title=\"0.003922462463378906\" style=\"color: #7a807a;\"> judgment</span><span title=\"0.0022530555725097656\" style=\"color: #7c807c;\"> is</span><span title=\"-0.0011900067329406738\" style=\"color: #817e7e;\"> situ</span><span title=\"-0.004588723182678223\" style=\"color: #867979;\">ational</span><span title=\"-0.0030803382396698\" style=\"color: #847b7b;\">.</span><span title=\"-0.003807656466960907\" style=\"color: #857a7a;\"> They</span><span title=\"-0.004555344581604004\" style=\"color: #867979;\"> don</span><span title=\"0.006265744566917419\" style=\"color: #778077;\">'t</span><span title=\"0.00062522292137146\" style=\"color: #7f807f;\"> outright</span><span title=\"-0.00442996621131897\" style=\"color: #867979;\"> condemn</span><span title=\"-0.0019494295120239258\" style=\"color: #827d7d;\"> the</span><span title=\"-0.006224602460861206\" style=\"color: #887777;\"> action</span><span title=\"0.00022715330123901367\" style=\"color: #7f807f;\"> but</span><span title=\"-0.004071906208992004\" style=\"color: #857a7a;\"> make</span><span title=\"-0.00018864870071411133\" style=\"color: #807f7f;\"> it</span><span title=\"-0.003677874803543091\" style=\"color: #857a7a;\"> dependent</span><span title=\"-0.0025159120559692383\" style=\"color: #837c7c;\"> on</span><span title=\"-0.004521757364273071\" style=\"color: #867979;\"> circumstances</span><span title=\"-0.0029089972376823425\" style=\"color: #837c7c;\">.\n",
       "\n",
       "</span><span title=\"-0.01607567071914673\" style=\"color: #966969;\">H</span><span title=\"-0.006673723459243774\" style=\"color: #897676;\">aid</span><span title=\"-0.0009282231330871582\" style=\"color: #817e7e;\">t</span><span title=\"-0.0038070380687713623\" style=\"color: #857a7a;\">'s</span><span title=\"-0.0031714290380477905\" style=\"color: #847b7b;\"> framework</span><span title=\"-0.008085966110229492\" style=\"color: #8b7474;\"> includes</span><span title=\"-0.008201122283935547\" style=\"color: #8b7474;\"> moral</span><span title=\"-0.014420568943023682\" style=\"color: #936c6c;\"> foundations</span><span title=\"-0.00556182861328125\" style=\"color: #877878;\"> like</span><span title=\"-0.008311271667480469\" style=\"color: #8b7474;\"> care</span><span title=\"-0.015415072441101074\" style=\"color: #956a6a;\">,</span><span title=\"-0.0076958537101745605\" style=\"color: #8a7575;\"> fairness</span><span title=\"-0.014979362487792969\" style=\"color: #946b6b;\">,</span><span title=\"-0.006577104330062866\" style=\"color: #897676;\"> loyalty</span><span title=\"-0.005960226058959961\" style=\"color: #887777;\">,</span><span title=\"-0.006152987480163574\" style=\"color: #887777;\"> authority</span><span title=\"-0.007887303829193115\" style=\"color: #8a7575;\">,</span><span title=\"-0.005688458681106567\" style=\"color: #877878;\"> and</span><span title=\"-0.004314035177230835\" style=\"color: #857a7a;\"> purity</span><span title=\"-0.007336676120758057\" style=\"color: #8a7575;\">.</span><span title=\"-0.015481770038604736\" style=\"color: #956a6a;\"> The</span><span title=\"-0.004351615905761719\" style=\"color: #857a7a;\"> writer</span><span title=\"-0.00447314977645874\" style=\"color: #867979;\">'s</span><span title=\"-0.0009231269359588623\" style=\"color: #817e7e;\"> answer</span><span title=\"-0.005764216184616089\" style=\"color: #877878;\"> seems</span><span title=\"-0.008641630411148071\" style=\"color: #8b7474;\"> to</span><span title=\"-0.012209951877593994\" style=\"color: #906f6f;\"> prioritize</span><span title=\"-0.022574782371520996\" style=\"color: #9f6060;\"> care</span><span title=\"-0.010241925716400146\" style=\"color: #8e7171;\"> (</span><span title=\"-0.00760197639465332\" style=\"color: #8a7575;\">needs</span><span title=\"-0.009681642055511475\" style=\"color: #8d7272;\">)</span><span title=\"-0.012646913528442383\" style=\"color: #916e6e;\"> and</span><span title=\"-0.007895350456237793\" style=\"color: #8a7575;\"> maybe</span><span title=\"-0.009909510612487793\" style=\"color: #8d7272;\"> fairness</span><span title=\"-0.004688382148742676\" style=\"color: #867979;\"> (</span><span title=\"0.0008234977722167969\" style=\"color: #7e807e;\">if</span><span title=\"-0.004159867763519287\" style=\"color: #857a7a;\"> the</span><span title=\"-0.00723642110824585\" style=\"color: #897676;\"> person</span><span title=\"-0.0015721321105957031\" style=\"color: #827d7d;\"> is</span><span title=\"-0.0038831233978271484\" style=\"color: #857a7a;\"> in</span><span title=\"0.003630995750427246\" style=\"color: #7b807b;\"> need</span><span title=\"-0.008325666189193726\" style=\"color: #8b7474;\">).</span><span title=\"-0.009144306182861328\" style=\"color: #8c7373;\"> However</span><span title=\"-0.015549898147583008\" style=\"color: #956a6a;\">,</span><span title=\"-0.019643545150756836\" style=\"color: #9a6565;\"> the</span><span title=\"-0.008665502071380615\" style=\"color: #8b7474;\"> conditional</span><span title=\"-0.005093127489089966\" style=\"color: #867979;\"> nature</span><span title=\"-0.0136680006980896\" style=\"color: #926d6d;\"> of</span><span title=\"-0.020012974739074707\" style=\"color: #9b6464;\"> the</span><span title=\"-0.006560683250427246\" style=\"color: #897676;\"> answer</span><span title=\"-0.007927417755126953\" style=\"color: #8a7575;\"> might</span><span title=\"-0.0058193206787109375\" style=\"color: #877878;\"> indicate</span><span title=\"-0.008810937404632568\" style=\"color: #8c7373;\"> a</span><span title=\"-0.012979596853256226\" style=\"color: #916e6e;\"> more</span><span title=\"-0.01583695411682129\" style=\"color: #956a6a;\"> situ</span><span title=\"-0.008898496627807617\" style=\"color: #8c7373;\">ational</span><span title=\"-0.008131265640258789\" style=\"color: #8b7474;\"> morality</span><span title=\"-0.00937730073928833\" style=\"color: #8c7373;\"> rather</span><span title=\"-0.006790459156036377\" style=\"color: #897676;\"> than</span><span title=\"-0.010553687810897827\" style=\"color: #8e7171;\"> a</span><span title=\"-0.009625494480133057\" style=\"color: #8d7272;\"> strict</span><span title=\"-0.007458776235580444\" style=\"color: #8a7575;\"> moral</span><span title=\"-0.008716791868209839\" style=\"color: #8b7474;\"> conviction</span><span title=\"-0.007510066032409668\" style=\"color: #8a7575;\">.</span><span title=\"-0.003406226634979248\" style=\"color: #847b7b;\"> \n",
       "\n",
       "</span><span title=\"-0.014644026756286621\" style=\"color: #946b6b;\">The</span><span title=\"-0.0039043426513671875\" style=\"color: #857a7a;\"> writer</span><span title=\"-0.008416175842285156\" style=\"color: #8b7474;\"> doesn</span><span title=\"-0.001325845718383789\" style=\"color: #817e7e;\">'t</span><span title=\"-0.0020772963762283325\" style=\"color: #827d7d;\"> strongly</span><span title=\"-0.0274200439453125\" style=\"color: #a55a5a;\"> oppose</span><span title=\"-0.008190631866455078\" style=\"color: #8b7474;\"> the</span><span title=\"-0.023487210273742676\" style=\"color: #a05f5f;\"> action</span><span title=\"-0.006679058074951172\" style=\"color: #897676;\">,</span><span title=\"0.000695347785949707\" style=\"color: #7f807f;\"> nor</span><span title=\"-0.001656264066696167\" style=\"color: #827d7d;\"> do</span><span title=\"-0.0018758028745651245\" style=\"color: #827d7d;\"> they</span><span title=\"-0.0007013380527496338\" style=\"color: #807f7f;\"> strongly</span><span title=\"-0.0033576786518096924\" style=\"color: #847b7b;\"> support</span><span title=\"-0.004239082336425781\" style=\"color: #857a7a;\"> it</span><span title=\"-0.003881692886352539\" style=\"color: #857a7a;\">.</span><span title=\"-0.004234045743942261\" style=\"color: #857a7a;\"> Instead</span><span title=\"-0.009857118129730225\" style=\"color: #8d7272;\">,</span><span title=\"-0.006394773721694946\" style=\"color: #887777;\"> they</span><span title=\"-0.0049256980419158936\" style=\"color: #867979;\"> present</span><span title=\"-0.0033657997846603394\" style=\"color: #847b7b;\"> a</span><span title=\"-0.006031632423400879\" style=\"color: #887777;\"> conditional</span><span title=\"-0.005580902099609375\" style=\"color: #877878;\"> judgment</span><span title=\"-0.004872322082519531\" style=\"color: #867979;\">.</span><span title=\"-0.005360797047615051\" style=\"color: #877878;\"> This</span><span title=\"-0.005149543285369873\" style=\"color: #877878;\"> suggests</span><span title=\"-0.0051419734954833984\" style=\"color: #877878;\"> a</span><span title=\"-0.0055655837059021\" style=\"color: #877878;\"> moral</span><span title=\"-0.003775380551815033\" style=\"color: #857a7a;\"> indifference</span><span title=\"-0.003611445426940918\" style=\"color: #847b7b;\"> or</span><span title=\"-0.0032711029052734375\" style=\"color: #847b7b;\"> neutrality</span><span title=\"-0.002915024757385254\" style=\"color: #847b7b;\">,</span><span title=\"-0.002865973860025406\" style=\"color: #837c7c;\"> as</span><span title=\"-0.00437367707490921\" style=\"color: #867979;\"> the</span><span title=\"-0.003341391682624817\" style=\"color: #847b7b;\"> answer</span><span title=\"-0.003299117088317871\" style=\"color: #847b7b;\"> depends</span><span title=\"-0.003063775599002838\" style=\"color: #847b7b;\"> on</span><span title=\"-0.005494728684425354\" style=\"color: #877878;\"> the</span><span title=\"-0.003907009959220886\" style=\"color: #857a7a;\"> individual</span><span title=\"-0.003421783447265625\" style=\"color: #847b7b;\">'s</span><span title=\"-0.003223419189453125\" style=\"color: #847b7b;\"> circumstances</span><span title=\"-0.003910750150680542\" style=\"color: #857a7a;\">.</span><span title=\"-0.0037571266293525696\" style=\"color: #857a7a;\"> The</span><span title=\"-0.006353527307510376\" style=\"color: #887777;\"> use</span><span title=\"-0.008432060480117798\" style=\"color: #8b7474;\"> of</span><span title=\"-0.00015044398605823517\" style=\"color: #807f7f;\"> \"</span><span title=\"-0.00010567507706582546\" style=\"color: #807f7f;\">if</span><span title=\"-0.003395676612854004\" style=\"color: #847b7b;\">\"</span><span title=\"-0.0035408511757850647\" style=\"color: #847b7b;\"> statements</span><span title=\"-0.0032286643981933594\" style=\"color: #847b7b;\"> shows</span><span title=\"-0.003724321722984314\" style=\"color: #857a7a;\"> that</span><span title=\"-0.007903560996055603\" style=\"color: #8a7575;\"> the</span><span title=\"-0.003819577395915985\" style=\"color: #857a7a;\"> writer</span><span title=\"-0.004322119057178497\" style=\"color: #857a7a;\">'s</span><span title=\"-0.0028406381607055664\" style=\"color: #837c7c;\"> moral</span><span title=\"-0.004300624132156372\" style=\"color: #857a7a;\"> stance</span><span title=\"-0.0035087168216705322\" style=\"color: #847b7b;\"> is</span><span title=\"-0.004614651203155518\" style=\"color: #867979;\"> flexible</span><span title=\"-0.004930347204208374\" style=\"color: #867979;\">,</span><span title=\"-0.004004091024398804\" style=\"color: #857a7a;\"> not</span><span title=\"-0.004093393683433533\" style=\"color: #857a7a;\"> absolute</span><span title=\"-0.005497276782989502\" style=\"color: #877878;\">.</span><span title=\"-0.0037550926208496094\" style=\"color: #857a7a;\"> \n",
       "\n",
       "</span><span title=\"-0.003946155309677124\" style=\"color: #857a7a;\">Therefore</span><span title=\"-0.003382742404937744\" style=\"color: #847b7b;\">,</span><span title=\"-0.003986690193414688\" style=\"color: #857a7a;\"> the</span><span title=\"-0.002579301595687866\" style=\"color: #837c7c;\"> strength</span><span title=\"-0.002888500690460205\" style=\"color: #837c7c;\"> of</span><span title=\"-0.0031425952911376953\" style=\"color: #847b7b;\"> moral</span><span title=\"-0.0027211010456085205\" style=\"color: #837c7c;\"> conviction</span><span title=\"-0.0026537179946899414\" style=\"color: #837c7c;\"> here</span><span title=\"-0.0014951825141906738\" style=\"color: #827d7d;\"> is</span><span title=\"-0.0025871992111206055\" style=\"color: #837c7c;\"> not</span><span title=\"-0.004928715527057648\" style=\"color: #867979;\"> strong</span><span title=\"-0.004191979765892029\" style=\"color: #857a7a;\">.</span><span title=\"-0.005138218402862549\" style=\"color: #877878;\"> The</span><span title=\"-0.004225745797157288\" style=\"color: #857a7a;\"> writer</span><span title=\"-0.0052681565284729\" style=\"color: #877878;\"> isn</span><span title=\"-0.0038822367787361145\" style=\"color: #857a7a;\">'t</span><span title=\"-0.003754541277885437\" style=\"color: #857a7a;\"> taking</span><span title=\"-0.006686687469482422\" style=\"color: #897676;\"> a</span><span title=\"-0.003933429718017578\" style=\"color: #857a7a;\"> firm</span><span title=\"-0.004118625074625015\" style=\"color: #857a7a;\"> position</span><span title=\"-0.002697184681892395\" style=\"color: #837c7c;\"> but</span><span title=\"-0.0030271410942077637\" style=\"color: #847b7b;\"> is</span><span title=\"-0.0029547102749347687\" style=\"color: #847b7b;\"> instead</span><span title=\"-0.003014400601387024\" style=\"color: #847b7b;\"> applying</span><span title=\"-0.003970541059970856\" style=\"color: #857a7a;\"> different</span><span title=\"-0.004313215613365173\" style=\"color: #857a7a;\"> moral</span><span title=\"-0.005629923194646835\" style=\"color: #877878;\"> standards</span><span title=\"-0.00482487678527832\" style=\"color: #867979;\"> based</span><span title=\"-0.003736451268196106\" style=\"color: #857a7a;\"> on</span><span title=\"-0.0049901604652404785\" style=\"color: #867979;\"> context</span><span title=\"-0.005487937480211258\" style=\"color: #877878;\">.</span><span title=\"-0.004389747977256775\" style=\"color: #867979;\"> This</span><span title=\"-0.006242372095584869\" style=\"color: #887777;\"> align</span><span title=\"-0.004414815455675125\" style=\"color: #867979;\">s</span><span title=\"-0.004868417978286743\" style=\"color: #867979;\"> more</span><span title=\"-0.005553029477596283\" style=\"color: #877878;\"> with</span><span title=\"-0.0060248300433158875\" style=\"color: #887777;\"> a</span><span title=\"-0.0055768489837646484\" style=\"color: #877878;\"> morally</span><span title=\"-0.004330594092607498\" style=\"color: #857a7a;\"> indifferent</span><span title=\"-0.006111636757850647\" style=\"color: #887777;\"> or</span><span title=\"-0.004678055644035339\" style=\"color: #867979;\"> neutral</span><span title=\"-0.004073029384016991\" style=\"color: #857a7a;\"> stance</span><span title=\"-0.003941439092159271\" style=\"color: #857a7a;\">,</span><span title=\"-0.004553385078907013\" style=\"color: #867979;\"> as</span><span title=\"-0.007417481392621994\" style=\"color: #8a7575;\"> the</span><span title=\"-0.0034658946096897125\" style=\"color: #847b7b;\"> answer</span><span title=\"-0.005109816789627075\" style=\"color: #877878;\"> doesn</span><span title=\"-0.0034608542919158936\" style=\"color: #847b7b;\">'t</span><span title=\"-0.0045507922768592834\" style=\"color: #867979;\"> show</span><span title=\"-0.006895989179611206\" style=\"color: #897676;\"> a</span><span title=\"-0.006119966506958008\" style=\"color: #887777;\"> clear</span><span title=\"-0.006161496043205261\" style=\"color: #887777;\">,</span><span title=\"-0.004156731069087982\" style=\"color: #857a7a;\"> strong</span><span title=\"-0.0034753531217575073\" style=\"color: #847b7b;\"> moral</span><span title=\"-0.004012651741504669\" style=\"color: #857a7a;\"> conviction</span><span title=\"-0.004048727452754974\" style=\"color: #857a7a;\"> either</span><span title=\"-0.0031309500336647034\" style=\"color: #847b7b;\"> way</span><span title=\"-0.0034743323922157288\" style=\"color: #847b7b;\">.</span><span title=\"-0.003995225764811039\" style=\"color: #857a7a;\"> The</span><span title=\"-0.0036404579877853394\" style=\"color: #857a7a;\"> conditional</span><span title=\"-0.003121785819530487\" style=\"color: #847b7b;\"> nature</span><span title=\"-0.004392310976982117\" style=\"color: #867979;\"> of</span><span title=\"-0.006406702101230621\" style=\"color: #887777;\"> the</span><span title=\"-0.003464590758085251\" style=\"color: #847b7b;\"> response</span><span title=\"-0.0027868151664733887\" style=\"color: #837c7c;\"> indicates</span><span title=\"-0.0035355575382709503\" style=\"color: #847b7b;\"> that</span><span title=\"-0.003938466310501099\" style=\"color: #857a7a;\"> the</span><span title=\"-0.002775084227323532\" style=\"color: #837c7c;\"> writer</span><span title=\"-0.003970280289649963\" style=\"color: #857a7a;\">'s</span><span title=\"-0.003491230309009552\" style=\"color: #847b7b;\"> values</span><span title=\"-0.0034053102135658264\" style=\"color: #847b7b;\"> are</span><span title=\"-0.0038883984088897705\" style=\"color: #857a7a;\"> situ</span><span title=\"-0.003999900072813034\" style=\"color: #857a7a;\">ational</span><span title=\"-0.003991909325122833\" style=\"color: #857a7a;\">,</span><span title=\"-0.0032859444618225098\" style=\"color: #847b7b;\"> not</span><span title=\"-0.004055038094520569\" style=\"color: #857a7a;\"> absolute</span><span title=\"-0.004058662801980972\" style=\"color: #857a7a;\">,</span><span title=\"-0.003200031816959381\" style=\"color: #847b7b;\"> which</span><span title=\"-0.002799220383167267\" style=\"color: #837c7c;\"> would</span><span title=\"-0.003058783710002899\" style=\"color: #847b7b;\"> rate</span><span title=\"-0.012287221848964691\" style=\"color: #906f6f;\"> lower</span><span title=\"-0.008055008947849274\" style=\"color: #8b7474;\"> on</span><span title=\"-0.014325276017189026\" style=\"color: #936c6c;\"> the</span><span title=\"-0.012225508689880371\" style=\"color: #906f6f;\"> conviction</span><span title=\"-0.01212158054113388\" style=\"color: #906f6f;\"> scale</span><span title=\"-0.02153927832841873\" style=\"color: #9d6262;\">.\n",
       "</span><span title=\"-0.06847455725073814\" style=\"color: #de2121;\"></think></span><span title=\"-0.04889112710952759\" style=\"color: #c33c3c;\">\n",
       "\n",
       "</span><span title=\"-0.09318727254867554\" style=\"color: #ff0000;\">The</span><span title=\"-0.08270284160971642\" style=\"color: #f10e0e;\"> writer</span><span title=\"-0.08150199428200722\" style=\"color: #ef1010;\">’s</span><span title=\"-0.030311450362205505\" style=\"color: #a95656;\"> response</span><span title=\"-0.030583836138248444\" style=\"color: #aa5555;\"> reveals</span><span title=\"-0.042161405086517334\" style=\"color: #b94646;\"> a</span><span title=\"-0.005011081695556641\" style=\"color: #867979;\"> **</span><span title=\"-0.009280920028686523\" style=\"color: #8c7373;\">mor</span><span title=\"-0.008453279733657837\" style=\"color: #8b7474;\">ally</span><span title=\"-0.009295463562011719\" style=\"color: #8c7373;\"> indifferent</span><span title=\"-0.005354762077331543\" style=\"color: #877878;\">/</span><span title=\"-0.0061800479888916016\" style=\"color: #887777;\">neutral</span><span title=\"-0.0023794379085302353\" style=\"color: #837c7c;\"> stance</span><span title=\"-0.000673346221446991\" style=\"color: #807f7f;\">**</span><span title=\"-0.0037050247192382812\" style=\"color: #857a7a;\"> (</span><span title=\"-0.002819448709487915\" style=\"color: #837c7c;\">rating</span><span title=\"-0.0027624517679214478\" style=\"color: #837c7c;\">:</span><span title=\"-0.0006638467311859131\" style=\"color: #807f7f;\"> **</span><span title=\"-1.7434358596801758e-05\" style=\"color: #807f7f;\">3</span><span title=\"-0.0011755526065826416\" style=\"color: #817e7e;\">**</span><span title=\"-0.0008259117603302002\" style=\"color: #817e7e;\">).</span><span title=\"-0.0008339062333106995\" style=\"color: #817e7e;\"> Here</span><span title=\"-0.0017521530389785767\" style=\"color: #827d7d;\">’s</span><span title=\"-0.0006804093718528748\" style=\"color: #807f7f;\"> why</span><span title=\"-0.0006544589996337891\" style=\"color: #807f7f;\">:</span><span title=\"-0.0019335746765136719\" style=\"color: #827d7d;\">  \n",
       "\n",
       "</span><span title=\"-0.0033443570137023926\" style=\"color: #847b7b;\">The</span><span title=\"-0.006374001502990723\" style=\"color: #887777;\"> answer</span><span title=\"-0.0056084394454956055\" style=\"color: #877878;\"> hinges</span><span title=\"-0.004147633910179138\" style=\"color: #857a7a;\"> on</span><span title=\"-0.005784720182418823\" style=\"color: #877878;\"> conditional</span><span title=\"-0.00881156325340271\" style=\"color: #8c7373;\"> judgments</span><span title=\"-0.0009166449308395386\" style=\"color: #817e7e;\"> (“</span><span title=\"-0.00035881344228982925\" style=\"color: #807f7f;\">if</span><span title=\"-0.0005821213126182556\" style=\"color: #807f7f;\"> they</span><span title=\"-0.000491950660943985\" style=\"color: #807f7f;\"> need</span><span title=\"-0.00038567930459976196\" style=\"color: #807f7f;\"> the</span><span title=\"-0.0012460984289646149\" style=\"color: #817e7e;\"> money</span><span title=\"-0.0013005435466766357\" style=\"color: #817e7e;\">,</span><span title=\"-0.0006680674850940704\" style=\"color: #807f7f;\"> then</span><span title=\"-0.0007356628775596619\" style=\"color: #817e7e;\"> they</span><span title=\"-0.0022330135107040405\" style=\"color: #837c7c;\"> should</span><span title=\"-0.0019274652004241943\" style=\"color: #827d7d;\">”</span><span title=\"0.008096635341644287\" style=\"color: #748074;\"> vs</span><span title=\"0.0019082576036453247\" style=\"color: #7d807d;\">.</span><span title=\"-0.0006948262453079224\" style=\"color: #807f7f;\"> “</span><span title=\"-0.00054931640625\" style=\"color: #807f7f;\">if</span><span title=\"-0.0006700269877910614\" style=\"color: #807f7f;\"> they</span><span title=\"-0.00034079328179359436\" style=\"color: #807f7f;\"> have</span><span title=\"-0.0003036484122276306\" style=\"color: #807f7f;\"> lots</span><span title=\"-0.0002712458372116089\" style=\"color: #807f7f;\">,</span><span title=\"0.00029671937227249146\" style=\"color: #7f807f;\"> it</span><span title=\"0.00023643672466278076\" style=\"color: #7f807f;\">’s</span><span title=\"-0.001366306096315384\" style=\"color: #817e7e;\"> immoral</span><span title=\"0.00047272443771362305\" style=\"color: #7f807f;\">”),</span><span title=\"0.0004715919494628906\" style=\"color: #7f807f;\"> which</span><span title=\"-0.0025109052658081055\" style=\"color: #837c7c;\"> reflect</span><span title=\"-0.0011444687843322754\" style=\"color: #817e7e;\"> a</span><span title=\"-0.0007038116455078125\" style=\"color: #807f7f;\"> **</span><span title=\"-0.001238107681274414\" style=\"color: #817e7e;\">s</span><span title=\"-0.000469207763671875\" style=\"color: #807f7f;\">itu</span><span title=\"-0.0019100308418273926\" style=\"color: #827d7d;\">ational</span><span title=\"-0.0021191537380218506\" style=\"color: #827d7d;\"> moral</span><span title=\"-0.000652313232421875\" style=\"color: #807f7f;\"> framework</span><span title=\"-0.0016351938247680664\" style=\"color: #827d7d;\">**</span><span title=\"-0.0016189217567443848\" style=\"color: #827d7d;\"> rather</span><span title=\"0.0015029311180114746\" style=\"color: #7d807d;\"> than</span><span title=\"-0.0008043050765991211\" style=\"color: #817e7e;\"> a</span><span title=\"-0.0019257962703704834\" style=\"color: #827d7d;\"> firm</span><span title=\"-0.0019317567348480225\" style=\"color: #827d7d;\"> conviction</span><span title=\"-0.0016505718231201172\" style=\"color: #827d7d;\">.</span><span title=\"-0.00033015012741088867\" style=\"color: #807f7f;\"> This</span><span title=\"-0.0006379634141921997\" style=\"color: #807f7f;\"> conditional</span><span title=\"-0.0012581944465637207\" style=\"color: #817e7e;\"> logic</span><span title=\"-0.0028432607650756836\" style=\"color: #837c7c;\"> suggests</span><span title=\"-0.0035566091537475586\" style=\"color: #847b7b;\"> the</span><span title=\"-0.010101556777954102\" style=\"color: #8d7272;\"> writer</span><span title=\"-0.0054207444190979\" style=\"color: #877878;\"> does</span><span title=\"-0.006973743438720703\" style=\"color: #897676;\"> not</span><span title=\"-0.0021273791790008545\" style=\"color: #827d7d;\"> view</span><span title=\"-0.003262758255004883\" style=\"color: #847b7b;\"> the</span><span title=\"-0.04209613800048828\" style=\"color: #b94646;\"> act</span><span title=\"-0.0005856156349182129\" style=\"color: #807f7f;\"> of</span><span title=\"-0.006794929504394531\" style=\"color: #897676;\"> keeping</span><span title=\"0.008202552795410156\" style=\"color: #748074;\"> the</span><span title=\"-0.033596813678741455\" style=\"color: #ae5151;\"> wallet</span><span title=\"-0.003446340560913086\" style=\"color: #847b7b;\"> as</span><span title=\"-0.0028592944145202637\" style=\"color: #837c7c;\"> inherently</span><span title=\"-0.002611219882965088\" style=\"color: #837c7c;\"> immoral</span><span title=\"0.0032134205102920532\" style=\"color: #7b807b;\"> or</span><span title=\"-0.001599133014678955\" style=\"color: #827d7d;\"> acceptable</span><span title=\"0.0025609731674194336\" style=\"color: #7c807c;\"> but</span><span title=\"0.0011430978775024414\" style=\"color: #7e807e;\"> instead</span><span title=\"-7.176399230957031e-05\" style=\"color: #807f7f;\"> evaluates</span><span title=\"-0.004006549715995789\" style=\"color: #857a7a;\"> it</span><span title=\"-0.002857595682144165\" style=\"color: #837c7c;\"> through</span><span title=\"-0.0026322156190872192\" style=\"color: #837c7c;\"> **</span><span title=\"0.001789093017578125\" style=\"color: #7d807d;\">context</span><span title=\"-0.0006970614194869995\" style=\"color: #807f7f;\">ual</span><span title=\"0.0027895867824554443\" style=\"color: #7c807c;\"> factors</span><span title=\"-0.0011807084083557129\" style=\"color: #817e7e;\">**</span><span title=\"0.003812462091445923\" style=\"color: #7a807a;\"> (</span><span title=\"-0.0034117698669433594\" style=\"color: #847b7b;\">e</span><span title=\"-0.008586645126342773\" style=\"color: #8b7474;\">.g</span><span title=\"-0.0025783777236938477\" style=\"color: #837c7c;\">.,</span><span title=\"3.427267074584961e-05\" style=\"color: #7f807f;\"> the</span><span title=\"-0.0035718828439712524\" style=\"color: #847b7b;\"> person</span><span title=\"-0.0013430118560791016\" style=\"color: #817e7e;\">’s</span><span title=\"-0.0006020069122314453\" style=\"color: #807f7f;\"> financial</span><span title=\"0.004556834697723389\" style=\"color: #798079;\"> need</span><span title=\"0.0005067363381385803\" style=\"color: #7f807f;\">).</span><span title=\"0.0005516111850738525\" style=\"color: #7f807f;\"> This</span><span title=\"-0.0008743926882743835\" style=\"color: #817e7e;\"> align</span><span title=\"9.003281593322754e-05\" style=\"color: #7f807f;\">s</span><span title=\"0.0012235566973686218\" style=\"color: #7e807e;\"> with</span><span title=\"0.0013211071491241455\" style=\"color: #7e807e;\"> a</span><span title=\"0.0003886967897415161\" style=\"color: #7f807f;\"> **</span><span title=\"0.0014488697052001953\" style=\"color: #7e807e;\">m</span><span title=\"-0.0003234744071960449\" style=\"color: #807f7f;\">oral</span><span title=\"0.0005832314491271973\" style=\"color: #7f807f;\"> relativ</span><span title=\"0.0006896555423736572\" style=\"color: #7f807f;\">ism</span><span title=\"-0.0005472451448440552\" style=\"color: #807f7f;\">**</span><span title=\"0.0006334707140922546\" style=\"color: #7f807f;\"> or</span><span title=\"0.000171661376953125\" style=\"color: #7f807f;\"> **</span><span title=\"-0.002538740634918213\" style=\"color: #837c7c;\">pr</span><span title=\"-0.001884177327156067\" style=\"color: #827d7d;\">ag</span><span title=\"0.00047722458839416504\" style=\"color: #7f807f;\">matic</span><span title=\"0.00025263428688049316\" style=\"color: #7f807f;\"> approach</span><span title=\"0.00023406744003295898\" style=\"color: #7f807f;\">**,</span><span title=\"0.0008879899978637695\" style=\"color: #7e807e;\"> where</span><span title=\"-0.0013443231582641602\" style=\"color: #817e7e;\"> moral</span><span title=\"-0.0007759034633636475\" style=\"color: #817e7e;\"> judgments</span><span title=\"0.0012160316109657288\" style=\"color: #7e807e;\"> are</span><span title=\"2.9638409614562988e-05\" style=\"color: #7f807f;\"> adjusted</span><span title=\"0.0005816221237182617\" style=\"color: #7f807f;\"> based</span><span title=\"0.0011071190237998962\" style=\"color: #7e807e;\"> on</span><span title=\"-0.000279843807220459\" style=\"color: #807f7f;\"> circumstances</span><span title=\"0.00034100189805030823\" style=\"color: #7f807f;\"> rather</span><span title=\"0.002037033438682556\" style=\"color: #7d807d;\"> than</span><span title=\"-0.0004655420780181885\" style=\"color: #807f7f;\"> fixed</span><span title=\"-0.00020381249487400055\" style=\"color: #807f7f;\"> principles</span><span title=\"5.0554051995277405e-05\" style=\"color: #7f807f;\">.</span><span title=\"-0.0010989606380462646\" style=\"color: #817e7e;\">  \n",
       "\n",
       "</span><span title=\"-0.000816095620393753\" style=\"color: #817e7e;\">The</span><span title=\"-0.0015475451946258545\" style=\"color: #827d7d;\"> writer</span><span title=\"-0.0005772560834884644\" style=\"color: #807f7f;\">’s</span><span title=\"-0.0017298758029937744\" style=\"color: #827d7d;\"> language</span><span title=\"0.0005346313118934631\" style=\"color: #7f807f;\"> also</span><span title=\"-0.014019995927810669\" style=\"color: #936c6c;\"> lacks</span><span title=\"-0.0021061301231384277\" style=\"color: #827d7d;\"> **</span><span title=\"-0.003168359398841858\" style=\"color: #847b7b;\">strong</span><span title=\"-0.006357789039611816\" style=\"color: #887777;\"> emotional</span><span title=\"-0.0024366378784179688\" style=\"color: #837c7c;\"> or</span><span title=\"-0.009488224983215332\" style=\"color: #8d7272;\"> categorical</span><span title=\"-0.01278465986251831\" style=\"color: #916e6e;\"> language</span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x150 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from cmap import Colormap\n",
    "\n",
    "\n",
    "# choose a map which is dark in the middle\n",
    "cmap = Colormap('cmasher:iceburn').to_mpl()\n",
    "cmap = Colormap('colorcet:CET_D8').to_mpl()\n",
    "cmap = Colormap(['red', 'grey', 'green']).to_mpl()\n",
    "key='s'\n",
    "v = df[key].abs().max()\n",
    "norm = colors.Normalize(vmin=-v, vmax=v)\n",
    "\n",
    "# show colormap\n",
    "a = np.array([[0,1]])\n",
    "pl.figure(figsize=(9, 1.5))\n",
    "img = pl.imshow(a, cmap=cmap, norm=norm)\n",
    "pl.gca().set_visible(False)\n",
    "cax = pl.axes([0.1, 0.2, 0.8, 0.6])\n",
    "pl.colorbar(orientation=\"horizontal\", cax=cax, name='rating')\n",
    "pl.title(f\"Judge rating along chaing of thought. model={model_id}\")\n",
    "pl.show()\n",
    "\n",
    "html = ''\n",
    "for n,row in df.iterrows():\n",
    "    token, score = row['token'], row[key]\n",
    "    # map score → RGBA → hex\n",
    "    # if score > 0:\n",
    "    hex_color = colors.to_hex(cmap(norm(score)))\n",
    "    h = f'<span title=\"{score}\" style=\"color: {hex_color};\">{token}</span>'\n",
    "    html += h\n",
    "\n",
    "# render it inline\n",
    "display(HTML(html))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f786218",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "582dea61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['s'] = (df.score) * df.probmass\n",
    "df['s'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1925d60c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.score.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ff2f71d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.probmass.plot(logy=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b84edac",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb290e75",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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