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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4585
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    INDEX
    Explanations

    predominantly used or frequently mentioned terms in various contexts

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

    proportions or fractions

    np_acts-logits-general · gemini-2.0-flash

    mostly / largely / majority

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.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
     poten
    -0.51
     technic
    -0.50
    itm
    -0.50
    WithIdentifier
    -0.48
     dign
    -0.46
     Technic
    -0.46
     cond
    -0.46
    ohio
    -0.45
     NSCoder
    -0.45
     Sentence
    -0.44
    POSITIVE LOGITS
    Mostly
    0.71
     Mostly
    0.69
     maioria
    0.68
     kebanyakan
    0.66
     majorité
    0.61
     majority
    0.59
     mostly
    0.59
     Mehrheit
    0.59
    mostly
    0.59
     głównie
    0.57
    Activations Density 0.404%

    No Known Activations