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    2. Gemma-3-27B-IT
    3. 32-GEMMASCOPE-2-TRANSCODER-262K
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    `np` or `data` followed by `.This neuron detects patterns related to code, data manipulation, and variations. It seems to activate when encountering Python code snippets, especially those involving data processing (like `np.delete`), file handling (`.md`), or generating slightly altered versions/variations of data. The presence of `Ai` and specific identifiers like `AiChan` also points to code context.Let's break down the reasoning:1. **MAX_ACTIVATING_TOKENS**: `np`, `Step`, `and`, `slightly`, `.`, `Ai`, `data`, `_`, `small` * `np`, `data`: Strongly suggests Python's NumPy library and general data handling. * `Step`, `slightly`, `small`: Suggests processes, steps, or minor modifications. * `Ai`: Could indicate AI-related code or data. * `.`: Common in Python for method calls or file extensions.2. **TOKENS_AFTER_MAX_ACTIVATING_TOKEN**: `.`, `**`, `altered`, `md`, `Chan`, `with`, `lines`, `variations` * `altered`, `variations`: Directly points to modifications or changes. * `md`: Suggests markdown files.code, data manipulation, and variations

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-27b-it/transcoder_all/layer_32_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     unmodified
    0.82
     unaltered
    0.77
     modified
    0.70
     original
    0.68
     unchanged
    0.65
    modified
    0.61
    版本的
    0.60
     modification
    0.59
     modifications
    0.59
     orijinal
    0.59
    POSITIVE LOGITS
    Fx
    0.35
     ಉತ್ತ
    0.35
     Sacrament
    0.35
    ள்ளி
    0.34
    θηκε
    0.34
    饗
    0.34
     evitando
    0.34
     часов
    0.33
    Боль
    0.33
    ฏ
    0.33
    Activations Density 0.048%

    No Known Activations