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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13337
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    INDEX
    Explanations

    attributes related to qualifications and characteristics of individuals, particularly in professional contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Positive adjectives describing people

    np_acts-logits-general · gemini-2.0-flash

    qualities of skilled individuals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aarrggbb
    -0.68
     ImageIcon
    -0.59
     ujednoznacz
    -0.57
     pinulongan
    -0.56
     Winaray
    -0.55
    MLLoader
    -0.54
     sagrado
    -0.52
    bcryptjs
    -0.52
     accesibles
    -0.52
    zbęd
    -0.52
    POSITIVE LOGITS
     observant
    0.61
    gruntled
    0.60
     knowledgeable
    0.58
    Experienced
    0.57
    educated
    0.57
     Experienced
    0.57
     educated
    0.55
     hungry
    0.53
     Trained
    0.52
     talented
    0.52
    Activations Density 0.815%

    No Known Activations