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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12876
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    references to brands and branding in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setVerticalGroup
    -0.46
     Expédié
    -0.37
     goreng
    -0.34
    ✭
    -0.34
    IOL
    -0.31
     pokok
    -0.31
    Ос
    -0.30
    zystać
    -0.30
    createStatement
    -0.30
    TERY
    -0.30
    POSITIVE LOGITS
     Brand
    0.94
     BRAND
    0.93
    Brand
    0.93
     brand
    0.88
    BRAND
    0.81
    brand
    0.74
    ishing
    0.71
     ambassador
    0.71
     Brandt
    0.66
    ished
    0.65
    Activations Density 0.051%

    No Known Activations