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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 388
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    INDEX
    Explanations

    references to bears and Halloween-related themes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    following "bear" or similar concepts

    np_acts-logits-general · gemini-2.0-flash

    bear, Kuma, Ursa

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Negative Logits
    ICAGO
    -0.35
     Ubicación
    -0.33
    aringan
    -0.32
    othelioma
    -0.31
    oredCriteria
    -0.30
    ícone
    -0.29
     DbType
    -0.29
     säll
    -0.28
    endola
    -0.28
     escuchadas
    -0.28
    POSITIVE LOGITS
     bear
    0.66
    __":
    0.65
     urs
    0.64
    Bears
    0.63
     grizzly
    0.60
    Bear
    0.57
     BEAR
    0.57
     Bears
    0.56
     bears
    0.56
     Bear
    0.55
    Activations Density 0.204%

    No Known Activations