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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 40334
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    INDEX
    Explanations

    references to qualitative and quantitative research methods

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

    quantitative data collection

    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
    CascadeType
    -0.47
    RTEX
    -0.40
    EClass
    -0.38
    bitField
    -0.37
     CascadeType
    -0.37
    bigcup
    -0.35
    didSet
    -0.34
    enderror
    -0.34
     الاطلاع
    -0.34
     consulté
    -0.34
    POSITIVE LOGITS
     quantitative
    1.67
    quantitative
    1.44
    Quantitative
    1.41
     Quantitative
    1.38
     quantitatively
    1.38
     quantit
    1.34
     quanti
    1.33
     numerical
    1.31
     quantified
    1.31
     numeric
    1.27
    Activations Density 0.214%

    No Known Activations