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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 15839
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    INDEX
    Explanations

    terms related to accuracy and correctness in information

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

    correctness or accuracy

    np_acts-logits-general · gemini-2.0-flash

    correct or incorrect judgment

    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-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.68
     aufnehmen
    -0.65
    ISODE
    -0.63
     existência
    -0.63
     חיצוניים
    -0.61
     GoogleFonts
    -0.61
    ($__
    -0.59
     Alf
    -0.58
     parlant
    -0.57
    AnchorStyles
    -0.57
    POSITIVE LOGITS
     AssemblyCulture
    0.75
     Mistake
    0.69
     错误
    0.67
     Accurate
    0.65
     Incorrect
    0.64
     accuracy
    0.64
     PyLong
    0.64
    rungsseite
    0.63
     precision
    0.62
    错误
    0.62
    Activations Density 0.250%

    No Known Activations