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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14493
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    Explanations

    references to fat in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 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
     Auto
    -0.41
     delivery
    -0.40
     auto
    -0.39
     local
    -0.39
     EU
    -0.38
     Ver
    -0.37
     window
    -0.36
     Qu
    -0.36
     legend
    -0.35
     non
    -0.35
    POSITIVE LOGITS
     navideña
    0.79
     laſſen
    0.77
     BoxFit
    0.73
     Geſch
    0.73
    aimeJ
    0.71
    <pad>
    0.71
    <unused43>
    0.71
    <unused28>
    0.71
    <unused23>
    0.71
    <unused14>
    0.71
    Activations Density 0.177%

    No Known Activations