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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 5534
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    INDEX
    Explanations

    references to specific car models and their variations

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

    Car models or brands

    np_acts-logits-general · gemini-2.0-flash

    Toyota car models

    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
     MainAxisSize
    -0.76
    InitVars
    -0.63
     typelib
    -0.57
    hoga
    -0.57
    AutoScaleMode
    -0.55
    原始内容存档于
    -0.55
    Jeografia
    -0.53
    ovács
    -0.53
    Билгалдахарш
    -0.53
    uldig
    -0.52
    POSITIVE LOGITS
     Camry
    0.64
     Corolla
    0.62
     Toyota
    0.61
    CORO
    0.61
     Prado
    0.60
     camry
    0.58
     Prius
    0.58
    RAV
    0.57
     fielder
    0.56
    Toyota
    0.56
    Activations Density 0.154%

    No Known Activations