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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 7848
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    Explanations

    references to mountains and elevated terrains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arşivlendi
    -0.75
    Życiorys
    -0.73
    躇
    -0.72
    Geplaatst
    -0.71
    новниш
    -0.71
     DELHI
    -0.71
     ujednoznacz
    -0.69
    protoimpl
    -0.69
     makeStyles
    -0.68
    irical
    -0.68
    POSITIVE LOGITS
     mountain
    2.21
     Mountain
    2.12
     mountains
    2.06
    Mountain
    1.97
    mountain
    1.79
     Mountains
    1.77
     MOUNTAIN
    1.73
    mountains
    1.67
    Mountains
    1.56
     montagne
    1.39
    Activations Density 0.043%

    No Known Activations