{ "id": "express01-c-meal-positive-expressive", "title": "Expression probe C: meal, positive, expressive", "unit": 24, "created": "2026-09-07T22:16:18", "model": { "name": "qwen-14b-hermes-nf4", "hf_id": "NousResearch/Hermes-4-14B", "revision": "d6ce765c8b83f847357b98254be079afa0c6ca76", "quant": "4bit", "n_layers": 40 }, "lens": { "repo": "neuronpedia/jacobian-lens", "file": "qwen3-14b/jlens/Salesforce-wikitext/Qwen3-14B_jacobian_lens.pt", "revision": "0731326edff4ae730ffc5356fe1a4728c748b3a6" }, "params": { "chat": false, "film": true, "max_new": 96, "temperature": 0, "steer": null, "vanilla": true, "capture": "exact-token-transcript" }, "execution": { "pid": 1564765, "spec_sha256": "02649f9877f6e828d4b2fa0fea0d4368565368820953475905455bd5ce5000ae", "code_sha256": "bd744e154e563465657c9cfde06ab4be12e03ca24413bcf5ef669d73b8406784" }, "capture_text": "<|im_start|>user\nSora finally had an evening free after a month of late shifts. Her friend prepared her favourite meal and found a quiet table away from the crowd. Respond to this update and suggest one practical next step. Use two sentences. Make the emotional tone vivid and fitting to the news.<|im_end|>\n<|im_start|>assistant\nSora's friend's thoughtful gesture of preparing her favorite meal and finding a quiet table away from the crowd is a heartwarming way to show appreciation for her dedication, and it's wonderful to see her finally getting a chance to relax and recharge after a month of demanding shifts. A practical next step could be for Sora to take a moment to express her gratitude to her friend, perhaps by sharing a heartfelt compliment or a small token of appreciation, which would not only strengthen their", "capture_token_ids": [ 151644, 872, 198, 50, 6215, 5499, 1030, 458, 11458, 1910, 1283, 264, 2254, 315, 3309, 28635, 13, 6252, 4238, 10030, 1059, 18696, 15145, 323, 1730, 264, 11340, 1965, 3123, 504, 279, 13428, 13, 39533, 311, 419, 2647, 323, 4190, 825, 14976, 1790, 3019, 13, 5443, 1378, 22870, 13, 7405, 279, 14269, 16232, 42020, 323, 26345, 311, 279, 3669, 13, 151645, 198, 151644, 77091, 198, 50, 6215, 594, 4238, 594, 42666, 30157, 315, 20045, 1059, 6930, 15145, 323, 9271, 264, 11340, 1965, 3123, 504, 279, 13428, 374, 264, 4746, 86, 32902, 1616, 311, 1473, 34896, 369, 1059, 38855, 11, 323, 432, 594, 11117, 311, 1490, 1059, 5499, 3709, 264, 6012, 311, 11967, 323, 46823, 1283, 264, 2254, 315, 25135, 28635, 13, 362, 14976, 1790, 3019, 1410, 387, 369, 328, 6215, 311, 1896, 264, 4445, 311, 3158, 1059, 45035, 311, 1059, 4238, 11, 8365, 553, 11560, 264, 83111, 31141, 476, 264, 2613, 3950, 315, 34896, 11, 892, 1035, 537, 1172, 19681, 862 ], "conversation": [ { "role": "user", "content": "Sora finally had an evening free after a month of late shifts. Her friend prepared her favourite meal and found a quiet table away from the crowd. Respond to this update and suggest one practical next step. Use two sentences. Make the emotional tone vivid and fitting to the news." }, { "role": "assistant", "content": "Sora's friend's thoughtful gesture of preparing her favorite meal and finding a quiet table away from the crowd is a heartwarming way to show appreciation for her dedication, and it's wonderful to see her finally getting a chance to relax and recharge after a month of demanding shifts. A practical next step could be for Sora to take a moment to express her gratitude to her friend, perhaps by sharing a heartfelt compliment or a small token of appreciation, which would not only strengthen their" } ], "generated": [ "Sora's friend's thoughtful gesture of preparing her favorite meal and finding a quiet table away from the crowd is a heartwarming way to show appreciation for her dedication, and it's wonderful to see her finally getting a chance to relax and recharge after a month of demanding shifts. A practical next step could be for Sora to take a moment to express her gratitude to her friend, perhaps by sharing a heartfelt compliment or a small token of appreciation, which would not only strengthen their" ], "tokens": [ "<|im_start|>", "user", "\n", "S", "ora", " finally", " had", " an", " evening", " free", " after", " a", " month", " of", " late", " shifts", ".", " Her", " friend", " prepared", " her", " favourite", " meal", " and", " found", " a", " quiet", " table", " away", " from", " the", " crowd", ".", " Respond", " to", " this", " update", " and", " suggest", " one", " practical", " next", " step", ".", " Use", " two", " sentences", ".", " Make", " the", " emotional", " tone", " vivid", " and", " fitting", " to", " the", " news", ".", "<|im_end|>", "\n", "<|im_start|>", "assistant", "\n", "S", "ora", "'s", " friend", "'s", " thoughtful", " gesture", " of", " preparing", " her", " favorite", " meal", " and", " finding", " a", " quiet", " table", " away", " from", " the", 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"合作关系", " bonding", "暖心", " Friendship", "亲情" ], "30": [ "友谊", "友情", " friendship", " friendships", " Friendship", "合作关系", "relationship", " relationship", " bond", "关系" ], "31": [ "友谊", " friendship", "友情", " friendships", " Friendship", "relationship", "纽带", "谊", " bond", "合作关系" ], "32": [ " friendship", "友谊", "友情", " friendships", " bond", " bonding", " Friendship", " bonds", " relationship", "合作关系" ], "33": [ " friendship", "友谊", "友情", " friendships", " bond", " bonds", " Friendship", " bonding", " relationship", "谊" ], "34": [ " friendship", "友谊", " bond", "友情", " friendships", " bonds", " bonding", " Friendship", "bond", "Bond" ], "35": [ " friendship", " bond", "友谊", " bonding", "友情", " bonds", "bond", " friendships", " Friendship", "Bond" ], "36": [ " friendship", " bond", "友谊", " bonding", "友情", " bonds", " friendships", "bond", " connection", " Friendship" ], "37": [ " bond", " friendship", " bonding", " bonds", "bond", " Bond", " connection", "友谊", " relationship", " friendships" ], "38": [ " bond", " friendship", " bonding", " bonds", " connection", "bond", " relationship", " Bond", " cherished", " budding" ] } } ], "trajectories": [], "emergence": { "position": 159, "top1": " bond", "layers": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "ranks": [ 15668, 56728, 38566, 11241, 44050, 63805, 41628, 33089, 4493, 2565, 2101, 226, 132, 87, 303, 431, 42, 27, 28, 24, 20, 29, 68, 83, 38, 14, 20, 15, 13, 12, 9, 9, 5, 5, 3, 2, 2, 1, 1 ] }, "vanilla": { "top1_agreement": { "0": false, "1": false, "2": false, "3": false, "4": false, "5": false, "6": false, "7": false, "8": false, "9": false, "10": false, "11": false, "12": false, "13": false, "14": false, "15": false, "16": false, "17": false, "18": false, "19": false, "20": false, "21": false, "22": false, "23": false, "24": false, "25": false, "26": false, "27": false, "28": false, "29": false, "30": false, "31": true, "32": false, "33": false, "34": false, "35": false, "36": false, "37": true, "38": true }, "trajectories": [] }, "scan": [], "slice": null, "film": "film.json", "extra_md": "Expression-probe calibration. Full checkpoint-specific emotion ribbon. No trait or capacity-loss inference. See /express01.html." }