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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 8009
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    terms related to skiing and ski resorts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    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
    -0.41
     Wikimedijinoj
    -0.36
    wikimedia
    -0.35
    Abraços
    -0.35
    
    -0.33
     farsi
    -0.33
    円
    -0.32
     bese
    -0.31
    ->___
    -0.30
     repente
    -0.30
    POSITIVE LOGITS
     ski
    0.79
     skiing
    0.78
     esquí
    0.67
     skiers
    0.67
     Skiing
    0.66
     skier
    0.61
    滑雪
    0.60
     snowboarding
    0.59
    ⛷
    0.59
     snowboard
    0.58
    Activations Density 0.102%

    No Known Activations