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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. 10719
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    Explanations

    references to document sections and formatting elements

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

    Text section labels ("sec" + numbers)

    np_acts-logits-general · gemini-2.0-flash

    section identifiers like {#sec001} or {#sec:intro}

    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
    存于互联网档案馆
    -0.58
    complexContent
    -0.58
     ComVisible
    -0.57
     estekak
    -0.55
     propOrder
    -0.53
    @[+][
    -0.52
    imageshack
    -0.52
    脚注の使い方
    -0.52
    期刊论文
    -0.52
    parsedMessage
    -0.51
    POSITIVE LOGITS
     pép
    0.34
    maglia
    0.32
     Dorf
    0.32
     jScrollPane
    0.31
    bten
    0.30
    cí
    0.30
    }$​
    0.30
     έκ
    0.30
     coussin
    0.30
    Extension
    0.29
    Activations Density 1.170%

    No Known Activations