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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2543
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    Explanations

    specific medical and health-related terms, particularly those associated with proteins, genes, and patient information

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

    followed by periods

    np_acts-logits-general · gemini-2.0-flash

    specific nouns and concepts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    LookAnd
    -0.66
     ModelExpression
    -0.66
    GEBURTS
    -0.66
    TestingModule
    -0.64
    ſelf
    -0.64
     queſta
    -0.63
     esternos
    -0.62
    ConstraintMaker
    -0.60
     ſta
    -0.60
     وتسجيلات
    -0.60
    POSITIVE LOGITS
    .
    0.41
     nữa
    0.35
     sebagainya
    0.31
     deberían
    0.29
     so
    0.29
     соответственно
    0.28
     hacerse
    0.27
    InstanceState
    0.27
     consigo
    0.27
     Wissenschaften
    0.27
    Activations Density 2.109%

    No Known Activations