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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. 86502
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    Explanations

    detailed instructions or guidelines related to processes and evaluations

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

    carefully, meticulously, thoroughly

    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
    Personendaten
    -0.75
    URLException
    -0.74
    IntoConstraints
    -0.69
    UserScript
    -0.69
    MLLoader
    -0.68
     nahilalakip
    -0.67
    ंदीखरीदारी
    -0.67
     Infórmanos
    -0.65
     pulumi
    -0.64
    出版年
    -0.63
    POSITIVE LOGITS
     carefully
    2.39
     careful
    1.96
    caref
    1.87
     Carefully
    1.84
     cuidadosamente
    1.68
     Careful
    1.64
     meticulously
    1.54
    Careful
    1.52
     sorgfältig
    1.46
     тщательно
    1.39
    Activations Density 0.182%

    No Known Activations