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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 9-GEMMASCOPE-RES-16K
    6. 8414
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    INDEX
    Explanations

    references to the character James Bond and related elements from the film series

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

    "Bond" or "007"

    np_acts-logits-general · gemini-2.0-flash

    James Bond and 007 citations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    投
    -0.42
    WinForms
    -0.40
     للمعارف
    -0.37
     lantern
    -0.36
    annels
    -0.35
    弥
    -0.35
    arraycopy
    -0.35
    Xna
    -0.35
    roland
    -0.35
    ural
    -0.34
    POSITIVE LOGITS
     Bond
    0.81
    Bond
    0.74
     BOND
    0.64
     Bonds
    0.58
    ValueStyle
    0.57
    BOND
    0.54
    bond
    0.54
     bond
    0.52
    oneofs
    0.52
    튿
    0.51
    Activations Density 0.326%

    No Known Activations