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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3766
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    terms related to skiing and ski-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wikimedijinoj
    -0.36
    Abraços
    -0.36
     ihop
    -0.35
    ">—
    -0.34
    fromnode
    -0.32
    Personendaten
    -0.32
    wikimedia
    -0.31
     bás
    -0.30
     Dish
    -0.30
     vinyle
    -0.30
    POSITIVE LOGITS
     ski
    0.84
     skiing
    0.83
     skiers
    0.78
     Skiing
    0.72
     skier
    0.71
     esquí
    0.70
     skis
    0.70
     snowboarding
    0.69
     snowboard
    0.67
     Ski
    0.65
    Activations Density 0.128%

    No Known Activations