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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 62813
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    INDEX
    Explanations

    numerical and categorical data related to race events and their participants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    iron response

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nonUne
    -0.44
    InjectAttribute
    -0.43
     fourrure
    -0.41
     <>",
    -0.39
     Selatan
    -0.38
    flexGrow
    -0.38
     instrumentos
    -0.36
     culturale
    -0.36
    原始内容存档
    -0.36
     fausse
    -0.36
    POSITIVE LOGITS
     Triathlon
    1.05
     triathlon
    1.01
     Ironman
    0.90
     swim
    0.90
     swimming
    0.77
     swims
    0.74
     Swim
    0.71
     IRON
    0.71
    swim
    0.70
     swimmers
    0.69
    Activations Density 0.005%

    No Known Activations