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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10611
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    Explanations

    specific car models and their performance characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    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
    Not in Any Lists

    No Comments

    Negative Logits
    WireFormatLite
    -0.71
    ValueStyle
    -0.56
    dafx
    -0.52
    хьтан
    -0.51
    MLLoader
    -0.51
     pinulongan
    -0.49
    XmlAccessType
    -0.48
    BufferException
    -0.47
     DevExpress
    -0.47
    Chevrolet
    -0.47
    POSITIVE LOGITS
    cassandra
    0.50
     Chrysler
    0.48
    strix
    0.43
     induction
    0.43
     Kansas
    0.43
    rrggbb
    0.43
     Dodge
    0.43
     Rajasthan
    0.42
     Cherokee
    0.42
     Fiat
    0.41
    Activations Density 0.513%

    No Known Activations