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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 77972
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    INDEX
    Explanations

    phrases related to injuries and victims of violence

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

    wounded and injured states

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <<<<<<<<<<<<<<
    -0.34
     Sternen
    -0.30
     Dumont
    -0.29
    UnusedPrivate
    -0.28
     tur
    -0.28
     pinulongan
    -0.28
     OBITUARY
    -0.28
     هي
    -0.27
     belt
    -0.27
     Hause
    -0.27
    POSITIVE LOGITS
     injuring
    0.78
    Injured
    0.76
     blessé
    0.75
     injured
    0.73
     blessés
    0.73
     wounded
    0.73
    injured
    0.72
     Injured
    0.71
     wounding
    0.71
    transQ
    0.71
    Activations Density 0.075%

    No Known Activations