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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11847
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    INDEX
    Explanations

    terms related to sharp objects or weapons

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

    Types of blades or sharp objects

    np_acts-logits-general · gemini-2.0-flash

    weapons or sharp objects / medical procedures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zeitraum
    -0.46
     geweest
    -0.44
     Yugoslav
    -0.44
    PreInfinity
    -0.43
     culoare
    -0.43
    tals
    -0.43
     näky
    -0.42
     Wohnzimmer
    -0.42
     gră
    -0.42
     Verhältnis
    -0.42
    POSITIVE LOGITS
     Dagger
    0.55
     فريبيس
    0.53
     Sword
    0.47
     Blade
    0.47
     sword
    0.46
     Toma
    0.45
     Mace
    0.45
    новниш
    0.45
     Blades
    0.45
     blade
    0.44
    Activations Density 0.920%

    No Known Activations