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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 31777
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    XML encoding specifications

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    UTF-8 encoding specifications

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ...")
    -0.68
    oredCriteria
    -0.65
    >");
    -0.60
    "),
    -0.59
    %"),
    -0.59
    '),
    -0.58
    "],
    -0.57
    دانشنامهٔ
    -0.57
     وتسجيلات
    -0.57
     "));
    -0.57
    POSITIVE LOGITS
    脚注の使い方
    0.84
     utf
    0.68
    EndContext
    0.64
     estekak
    0.62
     Nationen
    0.60
     Atiku
    0.60
     charset
    0.59
    葩
    0.59
    EDF
    0.58
     -*-
    0.57
    Activations Density 0.010%

    No Known Activations