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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1192
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    Explanations

    high-end automobile brands and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.43
    WebElementEntity
    -0.43
    Rally
    -0.42
     Mith
    -0.40
     Mikey
    -0.40
    Mickey
    -0.40
     Ford
    -0.40
    Mikey
    -0.39
     fabia
    -0.39
     Rally
    -0.39
    POSITIVE LOGITS
     AMG
    0.83
     Mercedes
    0.81
     luxury
    0.76
    Mercedes
    0.70
     mercedes
    0.69
    AMG
    0.69
     Benz
    0.67
     Luxury
    0.67
    Benz
    0.66
    luxury
    0.65
    Activations Density 0.340%

    No Known Activations