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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7404
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    INDEX
    Explanations

    references to skill sets and abilities, particularly in professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "skill" followed by "set" or "Ky"

    np_acts-logits-general · gemini-2.0-flash

    skillset and skills

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.84
    nextProps
    -0.76
    djangoproject
    -0.74
     légales
    -0.66
    )";
    -0.66
     Audiodateien
    -0.63
     onAnimation
    -0.62
    )");
    -0.60
     مفص
    -0.60
     Wikimedijinoj
    -0.60
    POSITIVE LOGITS
     skills
    0.85
    skills
    0.82
    Skills
    0.81
     Skills
    0.78
     skill
    0.76
     Skill
    0.76
    sets
    0.75
    set
    0.72
    skill
    0.70
    SKILL
    0.70
    Activations Density 0.094%

    No Known Activations