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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7170
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    Explanations

    phrases related to skills and competencies in a professional context

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

    followed by "skill" or "skills"

    np_acts-logits-general · gemini-2.0-flash

    skillset

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مفص
    -0.69
    OrBuilder
    -0.68
    Solución
    -0.60
     Потому
    -0.57
    WindowConstants
    -0.57
    Lugares
    -0.56
     onAnimation
    -0.55
    ensore
    -0.54
    ElementException
    -0.54
    djangoproject
    -0.54
    POSITIVE LOGITS
    sets
    0.82
     possessed
    0.80
     acquired
    0.80
     honed
    0.79
     development
    0.72
     adquirido
    0.71
    set
    0.71
     acquisition
    0.71
    acquired
    0.70
     developed
    0.69
    Activations Density 0.098%

    No Known Activations