PRISMΔDB
SAE MODEL #2

FEATURE 474

/ Surgical Procedures & Gastrointestinal Issues
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This page shows the detailed analysis of a specific feature in the Sparse Autoencoder (SAE). It includes the semantic interpretation generated by the LLM, the top activating documents that trigger this feature, and statistical metrics like density and activation distribution.

Semantic Interpretation
gemma3:12b #16

The positive examples consistently revolve around surgical procedures, particularly those involving the gastrointestinal tract. Specific features include: minimally invasive surgery (laparoscopic/video-assisted), repair of hernias (paraesophageal, hiatal, ventral rectal), treatment of reflux (fundoplication), and management of complications (bleeding, leakage, dysphagia). The level of granularity that best captures the activating feature is surgical interventions targeting the gastrointestinal system, with a focus on minimally invasive techniques and hernia/reflux management. The negative examples discuss topics like cancer research, opioid receptors, trauma diagnosis, and musculoskeletal imaging, which are entirely unrelated to surgical procedures or gastrointestinal issues.

STATISTICS & DISTRIBUTION
Statistics Explained

Density
Fraction of documents where this feature activates at least once.
Higher density = feature appears frequently across the dataset.

Peak Activation
Maximum activation value observed for this feature over all documents.

Activation Histogram
Distribution of all activation values for this feature. Each bar represents a bin (range) of values, and its height shows how many documents fall in that range.

Density
0.03100
Peak Act
3.65
0.0 Max
Global Context
TOP ACTIVATING CONTEXTS
DOC #904 ANALYZE
ACT: 3.6475
Laparoscopic fundoplication: a natural extension for the thoracic surgeon. Thoracic surgeons have historically played a significant role in surgical treatment of benign esophageal disorders. With the advent of video-assisted thoracic surgical techniques, chest surgeons have also become adept at minimally invasive procedures. Thus, it seems appropr…
DOC #430 ANALYZE
ACT: 2.9115
A novel technique to facilitate laparoscopic repair of large paraesophageal hernias. Laparoscopic repair of large paraesophageal hernias (LPEH) is technically challenging, and requires advanced laparoscopic skills. We have developed a novel technique for facilitating laparoscopic repair of LPEHs safely and easily, using a Nelaton catheter. Seven p…
DOC #646 ANALYZE
ACT: 2.8686
Laparoscopic ventral recto(colpo)pexy for rectal prolapse: surgical technique and outcome for 109 patients. The authors propose a new laparoscopic technique for correction of rectal prolapse. The unique feature of this technique is that it avoids any posterolateral dissection of the rectum. The mesh is sutured to the anterior aspect of the rectum …
DOC #882 ANALYZE
ACT: 2.8313
[Delayed primary anastomosis for esophageal atresia]. The aim of study is to review patients with esophageal atresia, treated by means of delayed primary esophageal anastomosis at Vilnius University Children's Hospital. Study was performed by retrospective analysis of medical records including period of 1992-2002, and clinical evaluation of late r…
DOC #447 ANALYZE
ACT: 2.5747
Closure of large pharyngo-oesophageal fistulas with free flap transfer after resections for cancer. Postoperative salivary fistulas still remain a serious and potentially lethal problem in head and neck reconstruction particularly if the fistula is large and involving one half or more of the circumference of the pharyngo-oesophagus. Pedicled flaps…
DOC #588 ANALYZE
ACT: 2.4947
Results and complications after laparoscopic sleeve gastrectomy. Laparoscopic sleeve gastrectomy (SG) has gained popularity and acceptance among bariatric surgeons, mainly due its low morbidity and mortality. The purpose of the present study was to evaluate the efficacy of SG on weight loss, and to determine the postoperative course, clinical pres…
TOPOLOGY
CORRELATIONS
W – Weight-space · similarity between decoder vectors (features that point in similar directions in the embedding space).
D – Data / co-activation · features that tend to fire together on the same documents (co-occurrence in the dataset).