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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. 1821
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    INDEX
    Explanations

    specific quantities and references to losses or declines in various contexts

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

    that precede "to" or "in"

    np_acts-logits-general · gemini-2.0-flash

    descriptive adverbs and phrases

    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
    出版年
    -0.79
     geſch
    -0.68
     beſch
    -0.68
     beſti
    -0.67
     müſſen
    -0.67
     NSCoder
    -0.67
     ſei
    -0.65
    ſchaft
    -0.65
     dieſes
    -0.65
    Etc
    -0.64
    POSITIVE LOGITS
    IsContent
    0.47
    的说道
    0.38
    particularly
    0.33
     encontrarás
    0.33
     diejenigen
    0.33
     quelli
    0.33
     particularly
    0.32
    地说道
    0.32
     besonders
    0.30
     diikuti
    0.30
    Activations Density 0.594%

    No Known Activations