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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7329
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    Explanations

    references to "Ram" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JsonKey
    -0.45
    Archi
    -0.42
     Archi
    -0.42
    躇
    -0.42
    最快更新
    -0.42
    不成
    -0.41
     Penna
    -0.40
    */].
    -0.40
    byshev
    -0.40
     sparkle
    -0.37
    POSITIVE LOGITS
     Ram
    1.28
    Ram
    1.23
     ram
    1.14
    ram
    1.09
    RAM
    0.97
     RAM
    0.96
     राम
    0.85
     Ramsey
    0.79
     Rem
    0.78
     ramps
    0.77
    Activations Density 0.376%

    No Known Activations