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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8782
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    Explanations

    elements related to weather phenomena, particularly focusing on the presence and effects of wind and storms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oa̍t
    -0.76
     للمعارف
    -0.72
    DJANGO
    -0.64
    Bioaccumulative
    -0.63
     ब्रेकडाउन
    -0.61
    Portail
    -0.60
    ChildScrollView
    -0.60
     autorytatywna
    -0.59
     endwhile
    -0.59
    出版年
    -0.58
    POSITIVE LOGITS
     sweeping
    0.65
     sweeps
    0.60
     envelop
    0.55
     sweep
    0.54
     hitting
    0.51
     swept
    0.46
     hits
    0.44
     lash
    0.43
     inund
    0.43
     washing
    0.43
    Activations Density 0.340%

    No Known Activations