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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 12288
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    INDEX
    Explanations

    words related to illness or negative health outcomes

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

    Tokens starting with "Ill" or "Pill"

    np_acts-logits-general · gemini-2.0-flash

    words with "ill" or "pill"

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WEBPACK
    -0.90
    nalités
    -0.76
     Bourgoin
    -0.72
    tonsoft
    -0.71
    skjaer
    -0.71
    waite
    -0.70
    Eras
    -0.69
     º
    -0.69
    emia
    -0.69
     LUMP
    -0.69
    POSITIVE LOGITS
     Sill
    0.93
     ILL
    0.86
    ll
    0.85
    dill
    0.85
    bill
    0.83
    mill
    0.82
     mills
    0.81
    Pill
    0.81
    ills
    0.79
    ILL
    0.79
    Activations Density 0.308%

    No Known Activations