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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
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    references to the city of Paris

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DebuggerNonUser
    -0.74
    contentLoaded
    -0.72
    )}_
    -0.63
     Newfoundland
    -0.60
    bouncy
    -0.60
    foundland
    -0.59
     Yel
    -0.59
     ExecuteAsync
    -0.58
     Byd
    -0.58
    AGEM
    -0.57
    POSITIVE LOGITS
     Paris
    2.50
    Paris
    2.24
     PARIS
    1.96
     paris
    1.79
    paris
    1.69
    PARIS
    1.45
     París
    1.42
     Пари
    1.18
     Parisian
    1.18
    巴黎
    1.14
    Activations Density 0.061%

    No Known Activations