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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 803
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    Explanations

    names of people and teams in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.74
    fjspx
    -0.58
    featureID
    -0.52
    expandindo
    -0.52
    AntiForgeryToken
    -0.49
     transfieras
    -0.48
    inSlope
    -0.48
    bitField
    -0.47
    transQ
    -0.47
    InputBorder
    -0.45
    POSITIVE LOGITS
    Notae
    0.36
    Failing
    0.35
    プロン
    0.34
    GOTREF
    0.33
     Cushi
    0.33
    SSSS
    0.33
    ناف
    0.32
     Failing
    0.32
    bertura
    0.32
     cp
    0.32
    Activations Density 0.174%

    No Known Activations