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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10946
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    references to mountains and elevated landscapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CodedInputStream
    -0.64
    Trước
    -0.61
     "'",
    -0.57
    RTGC
    -0.57
     joint
    -0.56
    ablo
    -0.54
    ziert
    -0.53
     समीक्षक
    -0.53
    TagMode
    -0.52
    busy
    -0.50
    POSITIVE LOGITS
     mountains
    0.80
     Devil
    0.74
     devil
    0.69
    Devil
    0.69
     Mountains
    0.69
    ЧЕСКИ
    0.66
    Dev
    0.64
     montagne
    0.62
    River
    0.62
    出版年
    0.61
    Activations Density 0.085%

    No Known Activations