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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5228
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    INDEX
    Explanations

    numerical values and product-related specifications

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

    military tanks

    np_acts-logits-general · gemini-2.0-flash

    tanks and military equipment

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
    RenderAtEndOf
    -0.66
    +#+#
    -0.64
     éti
    -0.62
     مشين
    -0.59
     مرئيه
    -0.59
     betweenstory
    -0.58
     silikon
    -0.57
     polizia
    -0.56
     marbre
    -0.56
     voks
    -0.55
    POSITIVE LOGITS
     tank
    0.86
     tanks
    0.85
     turret
    0.72
    tank
    0.70
     Tank
    0.69
    tanks
    0.68
     armor
    0.66
    Tank
    0.65
     Tortoise
    0.65
     Panzer
    0.64
    Activations Density 0.094%

    No Known Activations