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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. 44386
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    Explanations

    details about athletes and their careers

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

    He followed by sports actions

    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
     kasarigan
    -0.45
    脚注の使い方
    -0.40
    搞
    -0.40
    PostExecute
    -0.38
    出版年
    -0.37
     AssemblyTitle
    -0.36
     <<<<<<<<<<<<<<
    -0.36
     dipendenti
    -0.34
    伎
    -0.34
     minOccurs
    -0.34
    POSITIVE LOGITS
     averaged
    0.71
     played
    0.64
     spent
    0.61
     joins
    0.57
     joined
    0.54
     represented
    0.54
     averages
    0.53
     capped
    0.52
     averaging
    0.52
    played
    0.51
    Activations Density 0.045%

    No Known Activations