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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 131k
    5. 24-GEMMASCOPE-RES-131K
    6. 908
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    INDEX
    Explanations

    terms related to data normalization and conditioning processes

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

    normalization and renormalization

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.57
    itemBuilder
    -0.49
     rurales
    -0.48
    一头
    -0.47
     edible
    -0.47
    tagext
    -0.47
     Edible
    -0.47
    loz
    -0.47
    skraft
    -0.47
     amet
    -0.46
    POSITIVE LOGITS
    BatchNorm
    1.31
    ulemon
    0.39
     Diener
    0.37
     InputDecoration
    0.37
    norm
    0.36
    SafeMath
    0.35
     regulate
    0.34
    EnableWeb
    0.34
    Demografie
    0.33
     winter
    0.33
    Activations Density 0.001%

    No Known Activations