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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. 6964
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    INDEX
    Explanations

    references to health impacts and outcomes related to medical treatments and conditions

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

    fortune or mildness

    np_acts-logits-general · gemini-2.0-flash

    mild or thankfully outcomes

    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
    featureID
    -0.62
     оригіналу
    -0.61
    tvguidetime
    -0.59
    endphp
    -0.59
    ̍t
    -0.58
    GrantedAuthority
    -0.57
    toThrow
    -0.56
     mxArray
    -0.56
    StoreMessageInfo
    -0.55
    ConverterFactory
    -0.55
    POSITIVE LOGITS
     thankfully
    0.92
     harmless
    0.92
     fortunately
    0.86
     manageable
    0.83
     luckily
    0.81
     milder
    0.81
     relatively
    0.81
    不會
    0.80
    そこまで
    0.80
     mild
    0.79
    Activations Density 1.078%

    No Known Activations