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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1705
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    Explanations

    references to Ukraine and clothing being worn

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riwal
    -0.55
    ंदीखरीदारी
    -0.52
    VersionUID
    -0.50
     Italijanski
    -0.49
    XmlAccessorType
    -0.47
    batore
    -0.47
     ModelExpression
    -0.47
     Kälte
    -0.46
     GreatSchools
    -0.46
    EDEFAULT
    -0.46
    POSITIVE LOGITS
     burning
    0.79
     wearing
    0.71
    burning
    0.69
     Burning
    0.69
     burned
    0.67
     dressed
    0.65
     burnt
    0.64
    Wearing
    0.60
     Wearing
    0.59
    Burning
    0.59
    Activations Density 0.134%

    No Known Activations