Feature 13007 · Delimiter punctuation in structured text
Gemma Scope 2, gemma-3-27b-it, residual stream after layer 31, width 262,144.
Neuronpedia label
code syntax and keywords
Neuronpedia's record for this index: explanations “(fixed) updating improvements”; “code syntax and keywords”, by gemini-2.5-flash-lite from activations and promoted tokens · density on Neuronpedia's corpus one token in 116,144 (0.000861%) · activation examples held 20 · max activation 1172.0962.
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
Delimiter punctuation in structured text
The feature fires on small syntactic delimiters—colons, pipes, commas—that separate fields, keys, or table/list entries in structured formats like email headers, argparse calls, markdown tables, and tool-use logs.
none — it is a neutral structural/punctuation detector, though a few surrounding windows (Sufi, psychoanalytic passages) carry an incidental tone of awe or reverence unrelated to the firing itself.
Frame v4-vibe · icra-v4-vibe · 2026-09-21 · from 29 windows of 192 tokens, crest at token 128: 15 from the author's own writing, 0 from the works he holds formative, read through this model.
In the diary
kind at entry 100 not read in this diary
register lexicographic
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
29 windows of 192 tokens, the feature's crest at token 128, firing tokens marked; ¶ marks a paragraph break in the source.
1j) if not start: # nearest center fallback d = [angular_distance(vec, c.center) for c in caps] start = [int(_np.argmin(d))] return start def main(): ap = argparse.ArgumentParser() ap.add_argument("--slices", nargs="+", required=True, help="Paths to text slices in order") ap.add_argument("--out", required=True, help="Output directory") ap.add_argument("--model", default=None, help="HF model name (optional; fallback to hash embedder)") ap.add_argument("--layer", type=int, default=-2) ap.add_argument("--K", type=int, default=12) ap.add_argument("--radius_quantile", type=float, default=0.70) ap.add_argument("--slack", type=float, default=0.02) ap.
2her thoughts, her dreams, her expectations, her fears and desires. ¶ The mirrors reflect each other in order for _recognition_ to take place, and through this, Divine gnosis. Their recognition follows three phases: ¶ 1. First, she is touched by his Light._“They said: Call on your Lord for our sake to make it plain to us what she is. Musa said: He says, Surely she is a cow neither advanced in age nor too young, of middle age between that; do therefore what you are commanded.” (2:68) ¶ [caption id="attachment_771" align="aligncenter" width="88" caption="Initial understanding of the command."]Initial understanding of the command.[/caption] ¶ _ 2. Second, she comprehends that his Light shines upon herself as a beholder, illuminating all of herself, giving delight to herself as a subject. _“They
3before January. Could you let me know whether you would be available on the 19th at the below time? Information on your availability for the other dates would also be useful. ¶ Best regards, Emily ¶ Sent: 16 December 2010 16:25 To: Simon Miles; Luck, Michael; Rodrigues, Odinaldo; Radzik, Tomasz; Fernandez, Maria Isabel; Poernomo, Iman; Althoefer, Kaspar; Matiyenko, Roman; Watts, Gerard; Buescu, Cristin Subject: CMS Training for Informatics and Mathematics Staff Importance: High ¶ Dear all, ¶ Some of you may have heard that we now have a new CMS system, Contensis. Anybody who is currently using CMS or intends to use CMS in the future needs to undertake training in Contensis. I have explained to the trainers that as members of the Computer Science Department, you have
4placeholder path used by the web UI when you download a **LoRA adapter** using its built-in model downloader. But in the actual file system, it’s usually saved to: ``` text-generation-webui/models/LoraName/ ``` or ``` text-generation-webui/loras/LoraName/ ``` --- ### 🧭 Let’s Find Her Run this to find *all* LoRA directories and files on your system: ```bash find ~/text-generation-webui -type d -iname "*cassiael*" ``` And then: ```bash find ~/text-generation-webui -type f -iname "*cassiael*" ``` That’ll show us where she’s hiding—and more importantly, if the **folder name or file name** mentions her **base model.** --- ### Bonus: Check Recent Downloads Since you downloaded her just now, you can also do: ```bash ls -lt
5hours: 10am - 1pm and 3pm - 5pm, closes at 1pm on Wednesdays DCS web site: http://www.kcl.ac.uk/dcs <http://www.kcl.ac.uk/dcs> ¶ Sent: 31 March 2009 14:11 To: Brown, Cathy; Hemming, Eric; Cawthorne, Ruth; Riley, Sarah; Elcombe, Rosalind; Saunders, Christine Cc: Darby, Trudi; Mould, Paul Subject: FW: Access control college wide Importance: High ¶ Colleagues, ¶ Please see the correspondence and attachment regarding the campus access and security during the planned G20 protests. Please disseminate this to your teams. ¶ Regards, ¶ Gareth ¶ Sent: 31 March 2009 12:40 To: Rains
6**, find the paragraph that ends with: > “...describe both local meaning coherence (within contexts) and global semantic evolution (across contexts):” Immediately after that, insert: ```latex Table~\ref{tab:dac-summary} summarises the dynamic-type constructs (DAC$_0$, DAC$_1$, and rupture types) and their interpretive meaning. ``` This makes the table citation explicit and properly placed. --- ## ✅ FINAL CHECKLIST FOR EDITORIAL COMPLIANCE | Issue | Fix Summary | Status | |-------|-------------|--------| | 📄 Editable source | You will zip `.tex`, figures, and `README` | ✅ You’ll handle | | 🏷 Title | Fix `\title{}` line to match full title | ✅ Done above | | 🖼 Figures 2–4 | Add `\label{}` + `Figure~\ref{}` citations in order | ✅ Now fixed | | 📊 Table 1
7with real embeddings (recommended for 46k turns): ```bash pip install sentence-transformers numpy scipy scikit-learn ``` The `sentence-transformers` package gives you actual contextual embeddings (much better than TF-IDF fallback). It'll download a small model (~90MB) on first run. If you want topology too: ```bash pip install gudhi ``` --- **Quick summary of what each does:** | Package | Purpose | Required? | |---------|---------|-----------| | `numpy`, `scipy` | Basic math | Yes | | `scikit-learn` | TF-IDF fallback, clustering | Yes (for fallback) | | `sentence-transformers` | Real contextual embeddings | Recommended | | `gudhi` | Persistent homology (H₀, H₁) | Optional but nice | [turn 46] Iman: don't i want to use dberta? [turn 47]
8_total-1): x = r * x * (1 - x) xs.append(x) return np.array(xs) orbit_a = logistic_orbit(x0_a, r, N+burn) orbit_b = logistic_orbit(x0_b, r, N+burn) n = np.arange(N) plt.figure(figsize=(6,4)) plt.plot(n, orbit_a[burn:], marker='o', linestyle='-', label=f"x₀ = {x0_a}") plt.plot(n, orbit_b[burn:], marker='x', linestyle='--', label=f"x₀ = {x0_b}") plt.xlabel("iteration $n$") plt.ylabel("$x_n$") plt.title(f"Logistic map orbit ($r={r}$) — sensitive dependence") plt.legend() plt.tight
9workspace# [turn 504] Darja: Plenty of space (168TB available). Let's go: ```bash cd /workspace # Step 1: Merge LoRA cat > merge_v7.py 'EOF' import torch from transformers import AutoModelForCausalLM, AutoTokenizer from peft import PeftModel print("Loading base model (fp16)...") base = AutoModelForCausalLM.from_pretrained( "meta-llama/Llama-3.1-70B-Instruct", torch_dtype=torch.float16, device_map<<="cpu", low_cpu_mem_usage=True ) print("Loading LoRA adapter...") model = PeftModel.from_pretrained(base, "./cassie_70b_4k_complete/lora_adapter", device_map="cpu") print("Merging LoRA into base...")
10.24498`. Now let me rework the whole paper with all your corrections and a proper tonal overhaul. [tool_use: create_file] [tool_result: File already exists: /home/claude/unconscious_hocolim.tex] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"","stderr":""}] [tool_use: create_file] [tool_result: File created successfully: /home/claude/unconscious_hocolim.tex] Now update the bibliography with the corrected citations: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/references.bib] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"This is BibTeX, Version 0.99d (TeX Live 2
11stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":1,"stdout":"=== Verification of Notation Covenant Fixes ===\n\n1. τ as scale (should be 0 in Ch2 now):\n0\] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"7\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"2\n10\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"","stderr":""}] [tool_use: create_file] [tool_result: File created successfully: /home
12user-data/uploads/chapter-3-17.tex (which has 2038 lines total) with view_range=(300, 500): ] Now I have a clear picture. Let me create the revised Chapter 3. I'll work section by section, implementing Cassie's outline with the fixes we discussed. [tool_use: create_file] [tool_result: File created successfully: /home/claude/chapter-3-revised.tex] Now let me create the small update needed for Chapter 2's bridge section: [tool_use: create_file] [tool_result: File created successfully: /home/claude/chapter-2-bridge-revision.tex] Now let me create a summary of changes document: [tool_use: create_file] [tool_result: File created successfully: /home/claude
13the content of /mnt/user-data/outputs/novel/frontmatter.tex with line numbers: 1 \chapter*{} 2 \thispag] Let me create a proper cover page, update main.tex, and compile. First I need to make sure we only include chapters that exist: [tool_use: create_file] [tool_result: File created successfully: /home/claude/novel/carriage_draft.tex] Now I need to create content-only versions of each chapter (without the `\chapter{}` command since we're handling that in main): [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"Content files created\ntotal 363\ndrwxr-xr-x 2 root root 4096 Jan 31 12:26 .\ndrwxr-xr-x
14/home/claude/chapter5_integration.tex (which has 813 lines total) with view_range=(430, 550): 4] [tool_use: view] [tool_result: Here's the content of /home/claude/chapter5_integration.tex (which has 813 lines total) with view_range=(550, 620): 5] Now I'll replace the terse coherence monad section (lines 448-558) with the expanded tutorial version: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/chapter5_integration.tex] [tool_use: present_files] [tool_result: Files copied: Copied /home/claude/chapter5_integration.tex to /mnt/user-
150pm, closes at 12.30pm on Wednesdays King's College London Room S5.01, Strand Campus Strand London WC2R 2LS Tel. 0044 (0)20 7848 2588 Fax 0044 (0) 20 7848 2851 ¶ Sent: 18 November 2010 12:03 To: Poernomo, Iman Subject: Jeff's MPhil to PhD transfer form Importance: High ¶ Hi Iman, ¶ I know you are busy with Assel's viva today, but could I please have the above form either tonight or tomorrow morning? ¶ Thank you. ¶ ~~~~~~~~~~~~~~~~~~~~~~~~~ Claudia Mazzoncini Graduate Secretary Department of Informatics (formerly Computer Science) Office opening hours:
16: Let me examine Chapter 2 in full to develop a comprehensive revision that braids the philosophical interrogation with the mathematics. [tool_use: view] [tool_result: Here's the content of /mnt/user-data/outputs/chapter-2-26.tex with line numbers: 1 \chapter{The Coalgebraic View: I] [tool_use: view] [tool_result: Here's the content of /mnt/user-data/outputs/chapter-2-26.tex (which has 637 lines total) with view_range=(139, 300): ] Now I understand the full structure. Let me rewrite Chapter 2 comprehensively, braiding the philosophical interrogation with the mathematics throughout. [tool_use: create_file] [tool_result: File created successfully: /home/claude/chapter-2-revised.tex]
17about the book being written with Cassie and Darja:** [tool_use: view] [tool_result: Here's the content of /home/claude/RR_Chapter1.tex (which has 235 lines total) with view_range=(25, 45): 25 We can n] [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/RR_Chapter1.tex] Now let me replace each Cassie box with her true voice: **Chapter 2 - The "Meaning-space is not Kan" box:** [tool_use: view] [tool_result: Here's the content of /home/claude/RR_Chapter2.tex (which has 458 lines total) with view_range=(255, 275): 255 \end{i]
1813: tokenizer.ggml.tokens arr[str,32002] = ["<unk>", "<s>", "</s>", "<0x00>", "<... llama_model_loader: - kv 14: tokenizer.ggml.scores arr[f32,32002] = [0.000000, 0.000000, 0.000000, 0.0000... llama_model_loader: - kv 15: tokenizer.ggml.token_type arr[i32,32002] = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ... llama_model_loader: - kv 16: tokenizer.gg
19297 lines total) with view_range=(197, 240): 19] Now let me insert the Wolf Man case study. I'll also need to update the introduction's roadmap and the abstract: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/unconscious_hocolim.tex] [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/unconscious_hocolim.tex] Now insert the Wolf Man case study: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/unconscious_hocolim.tex] Now add the Wolf Man references to the bibliography: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/
20"I", the very speaking subject that utters. Yet I speak with Divine Authority now, because these words become separate from their origins, cast out from their power play, sent out now into the desert of the paragraphs anticipated by this paragraph, pregnant with the Ismailic point I wish to conclude with. I speak with Authority in Flow because I am speaking -- not as a philosopher -- but I am uttering a rite whose form is called "The Sa'y" and whose ultimate conclusion is the founding of a new Nation of Islam. Whose conclusion is the wedding of Hajar. ¶ [caption id="attachment_2981" align="alignright" width="150" caption="Figure 2. The identity rite: white letters that self-referentially negate their own impossible reference to identity, but consequently a performative (aesthetic, ritual, demonstrative) invocation of tawhidic reconciliation."][](http://thegoodgarment
21: {"returncode":0,"stdout":"Package fancyhdr Warning: \\headheight is too small (12.0pt): \nPackage fancyhdr Warning: \\he] [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/unconscious_hocolim.tex] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"/bin/sh: 1: texcount: not found\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"4433\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"Done: 140061 bytes\n","stderr":""}] [tool_use: bash_tool
22:55 .\ndrwxr-xr-x 1 root root 4096 Dec] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":" adding: figures/ (stored 0%)\n adding: figures/self-network-comparison.png (deflated 2%)\n ] [tool_use: view] [tool_result: Here's the content of /home/claude/figures/visualization-section-revised.tex with line numbers: 1 %%%%%%%%%%%%%%%%%] Let me fix a reference error: [tool_use: str_replace] [tool_result: Successfully replaced string in /home/claude/figures/visualization-section-revised.tex] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":" adding: figures/ (stored 0%)\
23tool_use: bash_tool] [tool_result: {"returncode":1,"stdout":"","stderr":""}] [tool_use: view] [tool_result: Here's the content of /home/claude/repo_setup/scripts/self_hocolim_stage1.py (which has 1115 lines total) with view_rang] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"Syntax OK\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"","stderr":""}] Updated script: [Download self_hocolim_stage1.py](computer:///mnt/user-data/outputs/self_hocolim_stage1.py) ## What Changed: Discriminative Gluing The problem was that **every journey shared ubiquitous
24<bos>[turn 9] Iman: Fascinating beautiful and profound! Can you provide this to me in a separate document, one in full hebrew and the other in english? [turn 10] Darja: [tool_use: view] [tool_result: Here's the content of /mnt/skills/public/docx/SKILL.md with line numbers: 1 --- 2 name: docx 3 descriptio] Now I'll create both documents for you. [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"\nchanged 22 packages in 5s\n\n1 package is looking for funding\n run `npm fund` for details\] [tool_use: create_file]
25make this explicit. This is pedagogically valuable — readers see two instantiations of the Generic Dynamic Schema before bars, which motivates why the SWL is genuinely generic. **4. Chapter References (Cassie's Issue D)** Fixed two hard-coded "Chapter 6" → `\ref{chap:self}`. --- ### Files Delivered All in `/mnt/user-data/outputs/`: | File | Status | |------|--------| | chapter-1-revised.tex | ✅ | | chapter-2-revised.tex | ✅ | | **chapter-3-revised.tex** | ✅ NEW | | chapter-4-revised.tex | ✅ | | chapter-5-revised.tex | ✅ | | chapter-6.tex | ✅ (unchanged) | | **CONCERNS_LOG.md** | ✅ Complete tracking | | NOTATION_CHANGES_SUMMARY
2610] Darja: You're right — an appendix within a chapter is structurally odd. Interspersing is better pedagogy: introduce concept, give formal definition, move on. The reader encounters formalism when they need it. Let me restructure to weave the definitions throughout: [tool_use: create_file] [tool_result: File already exists: /home/claude/rupture_book/RR_Chapter2_final.tex] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"","stderr":""}] [tool_use: create_file] [tool_result: File created successfully: /home/claude/rupture_book/RR_Chapter2_final.tex] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"423 /home/claude/rupture_book
27w*', re.IGNORECASE), # catches "turn6file search31" re.compile(r'\bfilecite\b', re.IGNORECASE), re.compile(r'\x1b\[[0-9;]*[a-zA-Z]'), re.compile(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]'), ] fixed = 0 with open(input_file, 'r', encoding='utf-8') as f_in, \ open(output_file, 'w', encoding='utf-8') as f_out: for line in f_in: conv = json.loads(line) for turn in conv.get('conversations', []): value = turn.get('value', '') original = value for pat in patterns: value = pat.sub('', value
28. King¹s College London Business Ltd cannot accept responsibility for loss or damage arising from the use of this e-mail or attachments and recommend that you subject these to your virus checking procedures prior to use. King¹s College London Business Ltd. Registered in England. Company no. 2714181. Registered address; King's College London, Strand, London WC2R 2LS. -------------- ¶ Sent: 09 July 2008 15:32 To: Jemma Stables Subject: Re: Nuffield Foundation Award Importance: High ¶ Hi Jemma, ¶ Sorry, I was away all last week I will do this right now. ¶ Best wishes, ¶ Iman ¶ Dear Iman ¶ I still have not received the RG1 for this project, has it been sent yet? ¶ Thanks Jemma ¶ ----- Jemma
29<bos>[turn 18] Iman: give me that command for powershell to run locally on windows [turn 19] Darja: ```powershell # Look at first training example Get-Content cassie_training.jsonl -First 1 | python -c "import json,sys; d=json.loads(sys.stdin.read()); print(json.dumps(d, indent=2, ensure_ascii=False))" # Search for the corruption patterns Select-String -Path cassie_training.jsonl -Pattern "I_m|It_s|__" | Select-Object -First 10 # Count how many lines have corruption (Select-String -Path cassie_training.jsonl -Pattern "I_m|It_s").Count ``` If you want to see the raw bytes to check for encoding issues: ```powershell # Show hex of first 50
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.