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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 11379
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    INDEX
    Explanations

    references to governmental and bureaucratic entities and actions

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

    Preceding relative pronouns (who, which, whose)

    np_acts-logits-general · gemini-2.0-flash

    officer, police, leaders

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ]")]
    -0.48
     للاسماء
    -0.46
     löytyy
    -0.45
     cielos
    -0.45
     مرئيه
    -0.43
    niosek
    -0.42
     löyty
    -0.40
     sija
    -0.40
     Zufall
    -0.39
    SourceChecksum
    -0.39
    POSITIVE LOGITS
     who
    1.55
     quien
    1.03
    who
    0.98
     quienes
    0.90
    quien
    0.83
     którzy
    0.81
     quién
    0.77
     ktorí
    0.73
     kteří
    0.69
     الذين
    0.69
    Activations Density 0.504%

    No Known Activations