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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 6443
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    Explanations

    references to skiing and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.50
    RefNanny
    -0.48
    Демографія
    -0.43
    HtmlAttribute
    -0.41
     jLabel
    -0.40
     fiches
    -0.39
     Wikimedijinoj
    -0.38
    Abraços
    -0.37
    ">—
    -0.37
    )}</
    -0.36
    POSITIVE LOGITS
     ski
    0.85
     skiing
    0.81
     skiers
    0.73
     skier
    0.69
     Skiing
    0.69
     snowboard
    0.65
     snowboarding
    0.65
     skis
    0.65
    滑雪
    0.63
    ⛷
    0.63
    Activations Density 0.049%

    No Known Activations