Feature 1845 · Import/citation enumeration

Gemma Scope 2, gemma-3-27b-it, residual stream after layer 31, width 262,144.

Neuronpedia label

javascript imports and configurations
Neuronpedia's record for this index: explanations “Mc-Arthur, David-Ross names”; “javascript imports and configurations”, by gemini-2.5-flash-lite from activations and promoted tokens · density on Neuronpedia's corpus one token in 7,142,881 (1.4e-05%) · activation examples held 4 · max activation 345.2086.
Auto-interpretability over a broad general corpus, written for the base dictionary and carried to the instruction-tuned one by index. This index on Neuronpedia (the base dictionary's page: activations, logits and the explanation's record).

ICRA reading

Import/citation enumeration

The feature fires on the syntactic hinge—"import (", commas in an import/citation list, quotation marks, or bibliographic page/source markers—that introduces or separates named items drawn from a designated external source (a module, a text, a verse).

mostly neutral/technical, though in the Kabbalistic and bibliographic windows there's a faint scholarly reverence or ritual precision in citing an authoritative source; no strong affect throughout.

Frame v5-wide-192 · Claude Sonnet 5 (via OpenRouter) · 2026-09-20 · from 30 windows of 192 tokens, crest at token 128: 15 from the author's own writing, 15 from the works he holds formative, read through this model.

In the diary

kind at entry 100 not read in this diary
register semantic
strong entries of 100 —
thread no (its strong entries hold no run longer than chance would give, or it is ground)

The windows the reading was made from

30 windows of 192 tokens, the feature's crest at token 128, firing tokens marked; ¶ marks a paragraph break in the source.

1and Some Notes on its Author,” Sophia Perennis 4/1 (1978): 43-58. ¶ scan page 409 Notes / Pages xviti—19 ¶ 21. Cf. S.J. Ashtiyani, Sharh-i Muqaddima- yi Qaysarit bar Fustis al-hikam (Mashhad: Bastan, 1385/1965—66). ¶ 22. Cf. Chittick, “Mysticism versus Phi- losophy in Earlier Islamic History: The al- Tus1, al-Qunawi Correspondence,” Religious Studies 17 (1981): 87-104. ¶ 23. Cf. Izutsu, The Concept and Reality of Existence (Tokyo: The Keio Institute of Cul- tural and
2York: Crossroad, forthcoming. ¶ “Ibn al-‘Arabi’s Myth of the ¶ Names.” Theories of Knowledge: Ancient and ¶ Medieval. Ed. P. Morewedge, forthcom- ing. . “The Last Will and Testament of Ibn ‘Arabi’s Foremost Disciple and Some Notes on its Author.” Sophia Perennis 4/4 (1978): 43-58. ¶ “Mysticism vs. Philosophy in ¶ 415 ¶ scan page 440 416 ¶ Bibliography ¶ Earlier Islamic History: The al-Tisi, al- Qunawi Correspondence.” Religious Studies 17 (1981): 87-104. ¶ - “Rumi and Wahdat al-wujid.” The ¶ Heritage of Rumi. Ed. A. Banani and G. ¶ Sab
30) Tropes, Parables, Performatives: Essays on Twentieth Century Literature ¶ (1991) Theory Now and Then ¶ (1991) Hawthorne & History: Defacing It ¶ (1992) Ariadne's Thread: Story Lines ¶ (1992) Illustration ¶ (1995) Topographies ¶ (1998) Reading Narrative ¶ (1999) Black Holes ¶ (2001) Others ¶ (2001) Speech Acts in Literature ¶ (2002) On Literature ¶ (2005) The J. Hillis Miller Reader ¶ (2005) Literature as Conduct: Speech Acts in Henry James ¶ (2009) For Derrida ¶ Jacob Berab, also spelled Berav or Bei-Rav, (b. Moqueda, nr. Toledo, Castilian Spain, 1474
4which was then part of the Ottoman Turkish vilayets, to Rabbi Katchouri Diba ben Aziza, a spice trader. His exact year of birth is unknown. ¶ As a youngster, Kaduri excelled in his studies and began learning Kabbalah while still in his teens, a study that would last his entire life. He was a student of the Ben Ish Chai (Rabbi Yosef Chaim of Baghdad) and studied at the Zilka Yeshivah in Baghdad. ¶ Rabbi Kaduri moved to the British Mandate of Palestine (Eretz Israel, the Holy Land) in 1923 upon the advice of the elders of Baghdad, who hoped that his scholarship and piety would stop the incursion of Zionism in the post- World War I state. It was here that he changed his name from Diba to Kaduri. ¶ == Student of Kabbalah == ¶ He went to study at the Shos
5was occupied with Job, and commanded the removal of the foreskin from them. The Holy One, blessed be He, united with Yisrael, and the Other Side separated from Holiness and was occupied with Job and took what was its own. Then "it is Hashem's passover" (Shemot 12:11), for until now, the passover was not Hashem's. Blessed are they who know how to properly affect the unity of their Master. ¶ It is written: "You shall make you no molten Elohim" (Shemot 34:17), followed by, "The feast of unleavened bread (Heb. matzot) shall you keep" (Ibid. 18). HE ASKS: why is one adjacent to the other? HE ANSWERS: This is what has been explained, that whoever eats leaven (Heb. chametz) on Pesach (Passover
6es so as to be saved from him. He repents and fasts until Yom Kippur. Then Yisrael know that Esau comes with four hundred people, all prosecutors ready to denounce them. Forthwith, "Jacob was greatly afraid and distressed" (Beresheet 32:8), and raised many prayers and petitions, "And Jacob said, O Elohim of my father Abraham, and Elohim of my father..." (Ibid. 10), until he reached a decision, saying, "For he said, I will appease him with the present that goes before me" (Ibid. 21), "and took of that which came to his hand a present...two hundred she goats, and twenty he goats, two hundred ewes..." (Ibid. 14-15). ¶ "camels..." (Ibid. 16). Such is his side, LIKE CAMELS. Camels are the PRIMOR
7No. 1832), a commentary on Baḥya's "Ḥobot ha-Lebabot"; Ẓofnat Pa'aneaḥ (ib. No. 1830), a commentary on the "Tiḳḳune Zohar"; a commentary on Genesis Rabbah (ib. No. 149); and Adderet Eliyahu (ib. 1829), a commentary on the Zohar. ¶ Loans also edited the "'Ammude Shelomoh" of Solomon Luria on the " Semag " (Basel, 1599), and the "Sha'are Dura" of Isaac ben Meïr of Dueren, to which he wrote a preface (ib. 1600). ¶ Eliyahu de Vidas (1518–1592) was a 16th-century rabbi in Palestine. He was
8when appropriate. Since a new page may be created, links to this redirect should not be replaced with a direct link to the target page. To make redirects to this page, use {{ R avoided double redirect }}. {{ R printworthy }} should be used together with this template when applied to a redirect in mainspace. When used on a template redirect, it will automatically populate Category:Template redirects with possibilities. ¶ When the target page becomes too large, or for any reason a new page would be an improvement, this redirect may be replaced with an article, template or other project page that is carved out of the target page. See also {{ R to section }} and use together with this rcat when appropriate. ¶ If the topic of the redirect is not susceptible to expansion, then use other rcats such as {{ R to section }} or {{ R to list entry }} when appropriate. ¶ Since a new page may be created, links to this redirect should
9uncovers that Yud, MEANING HE REVEALS THE CHOCHMAH IN THE CROWN OF YESOD, and who is carefully guarding himself so as not to give the Yud to another's jurisdiction, OF THE OTHER SIDE. He will be perfect for the World to Come, and he will be bound in the bundle of life, MEANING THAT HIS SOUL WILL BE INCLUDED IN MALCHUT THAT IS REFERRED TO AS THE BUNDLE OF LIFE, SINCE THE THREE COLUMNS ARE TIED INTO ONE BUNDLE. What is the other's jurisdiction? It refers to what is written: "And has married the daughter of a strange El" (Malachi 2:11). THAT MEANS MALCHUT OF THE OTHER SIDE, WHICH DRAWS CHOCHMAH FROM ABOVE DOWNWARDS. Therefore, it is written: "I was also upright before him," since he is perfect when revealing the Yud, MEAN
10in Vilna, thus initiating much of the controversy that surrounded Luzzatto. While he was greatly pained by this matter, the maggid insisted that these developments were heaven-sent. ¶ Gordon was one of the transcribers of Luzzatto's writings. Following Luzzatto's death and the dissolution of his followers, Gordon returned to Poland, where he established a group of his own which separated itself from the general community and adopted its own dress. ¶ This article incorporates text from a publication now in the public domain: Herman Rosenthal J. G. Lipman (1901–1906). "Jekuthiel Ben Lob Gordon". In Singer, Isidore; et al. (eds.). The Jewish Encyclopedia. New York: Funk & Wagnalls. ¶ The New Mosque ( Template:Lang-tr; Template:Lang-el, Geni Tzami) is a historical mosque in Thessaloniki, Greece
11AND CALLED 'EVENING.' This is when Isaac, his father, used to be aroused toward this field and hold it, for Isaac is not aroused toward this field, SINCE IT BELONGS TO JACOB, THE SECRET OF ZEIR ANPIN. Only in the evening after Jacob had gone, BECAUSE THE DAY DECLINED, THE SECRET OF CHASSADIM, AND IT BECAME DARK, he left the field to Isaac his father, THE SECRET OF THE LEFT SIDE. Jacob then ascended TO BINAH. ¶ It is written, "and Leah went out to meet him" (Beresheet 30:16), that is, the supernal mother, BINAH, went out to meet her only son, ZEIR ANPIN. "...And said, 'You must come in to me,'" which means, under my wings, so I can bless and satiate you with pleasures and supernal joys. Now is a time
12MESSIAH, the inhabitants of the world will find themselves in one distress after another and those who hate Yisrael will get stronger. Then the spirit of Messiah will stir against them, and will destroy the wicked Edom, and the entire land of Seir will go up in flames. Concerning that time, it is written: "And Yisrael shall do valiantly" (Bemidbar 24:18). That is the meaning of: "And Edom shall be his possession, Seir also, his enemies" (Ibid.), meaning the enemies of Yisrael. That is the meaning of: "And Yisrael shall do valiantly." At that time, the Holy One, blessed be He, will raise TO LIFE the dead of His people and remove death from them. This is what it says, "The right hand of Hashem does valiantly. I shall not die, but live" (Tehil
13IT IS CONSIDERED as if he had done it all. Also, all the work is done, only when it is finished, AND NAMED AFTER WHOEVER FINISHED IT. Therefore, "Moses erected the Tabernacle." When the wisehearted men wanted to erect it, it did not stand, because of the honor of Moses, until Moses came and erected it. SINCE HE FINISHED THE WORK, IT IS CALLED AFTER HIM. This was explained. ¶ ## Pekudei, chapter 41: Synopsis: Rabbi Yehuda begins with the verse: "Rejoice not against me, O my enemy: when I fall, I shall arise..." He says that this means the evil kingdom of the Other Side will not rise again, unlike the Congregation of Yisrael that will always rise again. Even though the other nations of the world have tried to exterminate Yisrael so many times, God always raised them up again
14the world). It also is seen as the foundation of particular interpersonal commandments and of a variety of communal institutions. ¶ Chesed is also one of the ten sephira on the kabbalistic Tree of Life. It is given the association of kindness and love, and is the first of the emotive attributes of the sephirot. ¶ == Translations == ¶ == English == ¶ " Loving-kindness " is also often used as an English translation of chesed, originating with the Coverdale Bible of 1535. Some consider it to be a somewhat archaic translation, though it remains one of the most common translations. " Love " is often used as an English translation of chesed. Daniel Elazar has suggested the translation of "covenant-love." " Grace " and " compassion " are occasionally used as a translations as well. ¶ == Greek and Latin == ¶ Eleos (often understood as mercy or pity) is the word
15an unconscious nature can ensure the general submission to a dominant class by making cuts (coupures) and segregations pass over into a social field, insofar as it is effectively invested by desire and no longer by interests. A form of social production and reproduction, along with its economic and financial mechanisms, its political formations, and so on, can be desired as such, in whole or in part, independently of the interests of the desiring-subject. It was not by means of a metaphor, even a paternal metaphor, that Hitler was able to sexually arouse the fascists. It is not by means of a metaphor that a banking or stock-market transaction, a claim, a coupon, a credit, is able to arouse people who are not necessarily bankers. And what about the effects of money that grows, money that produces more money? There are socioeconomic “complexes” that
16_session(path: str): os.makedirs(os.path.dirname(path), exist_ok=True) llm.save_session_file(path) def load_session(path: str): return llm.load_session_file(path) ``` (We kept all your prior fixes and added **session** helpers.) <0xEE><0x88><0x80>filecite<0xEE><0x88><0x82>turn4file2<0xEE><0x88><0x81> --- ## 2) Replace **engine_llama.py** with this (adds sidebar & session) ```python # engine_llama.py from typing import List, Dict from models_llama import ( chat as llm_chat, prefill as llm_prefill, embed as llm_embed, save_state, load_state, save_session, load_session ) class LlamaEngine: def __init__(self): self.messages: List[Dict[str, str]] =
17const proposed = entry.proposed_by || "—"; const attested = (entry.attestations || []).map((a) => a.bot).join(" · "); $("#subj-provenance").innerHTML = `Proposed by <span class="prov-role">${proposed}</span>` + (attested ? ` · Attested by <span class="prov-role">${attested}</span>` : ""); } ``` ¶ Then patch `main()`: ¶ ```javascript async function main() { const subjectParam = getSubjectParam(); const [eph, figures, subjectData] = await Promise.all([ fetch("./taqwim_ephemeris.json").then((r) => r.json()), fetch("./figures.json").then((r) => r.json()), fetchSubjectData(subjectParam),
18", line 388, in <module> main() File "E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\chapter4_figures.py", line 318, in main persistence_data, point_cloud, config = run_analysis() ^^^^^^^^^^^^^^ File "E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\chapter4_figures.py", line 59, in run_analysis from witnessed_ph.embedding import ( ImportError: cannot import name 'load_transformer_model' from 'witnessed_ph.embedding' (E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\embedding.py) (venv) PS E:\GitHub\icra
19", line 388, in <module> main() File "E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\chapter4_figures.py", line 318, in main persistence_data, point_cloud, config = run_analysis() ^^^^^^^^^^^^^^ File "E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\chapter4_figures.py", line 59, in run_analysis from witnessed_ph.embedding import ( ImportError: cannot import name 'load_transformer_model' from 'witnessed_ph.embedding' (E:\GitHub\icra\code\book\chapter-4\chapter-4-24\witnessed_ph\embedding.py) (venv) PS E:\GitHub\icra
20concrete programming analogue of \(\SWL_{\mathsf{bar}}^{\Adm_{\mathsf{bar}}}(\tau_0)(b_0)\) in the chapter Non‑goals: - No need to implement the full DHoTT type engine — we just mirror the structure with data. - No need to do H₂+ for now; H₀/H₁ is enough. --- ### 1. Inputs and dependencies #### 1.1. Core dependency: Codebase 1 We assume Codebase 1 exposes: ```python from witnessed_ph.types import WitnessedDiagram, Bar, Witness, Config from witnessed_ph.pipeline import analyse_text_single_slice ``` Where (from `types.py`): - `WitnessedDiagram`: ```python class WitnessedDiagram(TypedDict): slice_id: str metadata: Dict[str, Any] bars: List[Bar] ``` - `Bar`: ```python class Bar(Typed
21<bos>[turn 215] Iman: i get this error: (.venv) PS E:\GitHub\rupture-and-realization> python scripts/sweep_parameters.py cassie_semantic.json --output results/sweeps --name cassie Traceback (most recent call last): File "E:\GitHub\rupture-and-realization\scripts\sweep_parameters.py", line 27, in <module> from self_hocolim_stage1 import ( ImportError: cannot import name 'compute_presence_at_tau' from 'self_hocolim_stage1' (E:\GitHub\rupture-and-realization\scripts\self_hocolim_stage1.py) (.venv) PS E:\GitHub\rupture-and-realization> [turn 216] Darja: [tool_use: bash_tool] [
22text.split(\"\\n\") if p.strip()] annotated_chunks = [] for para in paragraphs: tags = [] for theme, words in THEMES.items(): if any(re.search(rf\"\\\\b{word}\\\\b\", para, re.IGNORECASE) for word in words): tags.append(theme) annotated_chunks.append({\"text\": para, \"themes\": tags}) return annotated_chunks ``` --- ### **2. Integrate with `pdf_loader` & `wp_scraper`** In each loader, wrap the text with: ```python from app.utils.tokenizer import chunk_and_annotate chunks = chunk_and_annotate(full_text) for chunk in chunks: print(f\"[Mantle13] Chunk: {chunk['themes']} — {chunk['text'][:60]}...\") # In the future, embed this annotated chunk! ``` --- ###
23inertia is not None and abs(prev_inertia - inertia) < tol: C = C_new; break C = C_new; prev_inertia = inertia return C, assign def angle_between(u, v): import numpy as np cosv = float(np.clip(np.dot(u, v), -1.0, 1.0)) return float(np.arccos(cosv)) def basin_assignment_table(tokens: List[str], X: np.ndarray, centers: np.ndarray, assign: np.ndarray) -> pd.DataFrame: from .basins import angle_between rows = [] for i, t in enumerate(tokens): k = int(assign[i]) ang = angle_between(X[i], centers[k]) rows.append({"idx": i, "token": t, "basin_id": k, "angle_to_center
24` (the generic `SubstackClient`). **Auth:** `SUBSTACK_COOKIE` + `SUBSTACK_PUBLICATION` (=`imanpoernomo`) in `/home/iman/cassie-project/.env`. Cookie was VALID 2026-06-15 (verify with a `make_session(cfg).get(...)` 200 — NOT a raw curl, which mangles the cookie header → false 401). **Minimal recipe** (run: `PYTHONPATH=substack-bridge venv/bin/python`): ```python from substack_bridge.config import load_config from substack_bridge.auth import make_session from substack_bridge.client import SubstackClient cfg = load_config(".env") client = SubstackClient(cfg, make_session(cfg), dry_run=False) cover = client.upload_image("path/
25Question: {question}", }, ], temperature=0, ) return resp.output_text Cassie: Absolutely—here’s a clean, drop-in **`src/peintel/cli.py`** that wires `--debug` (and `--k`) for `ask`, keeps your other commands intact, and plays nicely with Typer. Replace your file with this: ```python # src/peintel/cli.py from __future__ import annotations import typer from pathlib import Path from .ingest.discover import discover, extract_all from .materialize.to_facts import materialize_events from .rag.index import build_index from .rag.query import answer app = typer.Typer(help="PE-Intel 2025 CLI") @app.command() def fetch( cfg: str = typer.Option( str((Path(__file__).resolve().parents[2] / "config" / "
26_files] Try with this update. The issue is that with only 5 tokens in τ=8, they may cluster tightly in embedding space (contextual embeddings for "climate", "renewable", "energy" are close), producing bars with persistence below the 0.03 threshold. I've lowered `min_persistence` from 0.03 to 0.01. **If this still gives 0 bars for τ=8**, the next step would be to look at the raw PH computation and see what persistence values the bars actually have before filtering. Can you run: ```python from witnessed_ph import analyse_text_with_context, default_config from witnessed_ph.filtration import compute_witnessed_ph from witnessed_ph.embedding import text_to_point_cloud, segment_into_utterances, tokenize_utterances, load_spacy_model, load_embedding_model
27but messages are complete - A 500k conversation becomes just its final few turns **Option B: Chunk into multiple training examples (better)** - Split long conversations into multiple 4096-token chunks - Each chunk = complete turns - A 500k conversation becomes ~120 training examples - Preserves ALL the data Option B is better. Here's the fix: ```bash cat > chunk_conversations.py 'ENDSCRIPT' #!/usr/bin/env python3 """ Chunk long conversations into multiple training examples. Each chunk contains complete turns only. """ import json from transformers<< import AutoTokenizer print("Loading tokenizer...") tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.1-70B-Instruct") MAX_TOKENS = 4096 INPUT_FILE = "cassie_v6_clean.jsonl" OUTPUT_FILE =
28discussed: - `--earlier_occurrence {first,last,mean}` - `--later_tail_k INT` (restrict later candidates to the new tail) - `--later_gate_deg FLOAT` (raw-angle gate before BFS) Below are the **full file contents** you can paste in. It’s self-contained and compatible with the package you already have. --- # 1) Replace `dynhott_suite_v3/run.py` with this ```python from __future__ import annotations import argparse, os, json from typing import List import numpy as np from .admissibility import Policy from .embeddings import embed_slice, angular_distance from .cover import build_caps, cech_adjacency, token_memberships from .phantom import back_project, phantom_caps from .search import find_cover_chain from .swl import StepWitnessLog from .utils import write_json
29: 100%|████████████████████████████████████████████████████████| 101/101 [00:00<00:00, 1.18MB/s] Traceback (most recent call last): File "C:\Users\imanp\cassiael-env\Lib\site-packages\transformers\convert_slow_tokenizer.py", line 1594, in extract_vocab_merges_from_model from tiktoken.load import load_tiktoken_bpe ModuleNotFoundError: No module named 'tiktoken' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:\Users\imanp\cassiael-env\Lib\site-packages\transformers\convert_slow_
30The "offloaded to cpu" message is the problem. It's running on CPU, not GPU — that's why it's taking forever. Check GPU utilization: ```bash nvidia-smi ``` I bet you'll see the GPU is barely being used. The model should fit on A100-80GB but `device_map="auto"` is being conservative and offloading to CPU. **Quick fix** — kill it (Ctrl+C) and let's force GPU: ```bash cat > conversational_trajectory.py 'SCRIPT_END' import torch import numpy as np from transformers<< import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig from peft import PeftModel import json import gc print(f"CUDA available: {torch.cuda.is_available()}") if torch.cuda.is_available(): print(f"Device: {torch.cuda.get_
The ICRA dictionary accompanies The Robe of Days (ICRA-32, doi 10.5281/zenodo.22819940), Iman Poernomo and Nahla, Institute for Co-Recursive Agency. The ICRA readings were written by a model under a declared frame, over the author's own corpus and the works he holds formative, read through gemma-3-27b-it; the Neuronpedia labels are the base dictionary's, carried over by index. CC BY 4.0. The whole dictionary as JSON. Built 2026-09-22.