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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. 5268
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    INDEX
    Explanations

    popular American muscle cars and their features

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

    cars and potentially car parts

    np_acts-logits-general · gemini-2.0-flash

    muscle cars and 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
    下载附件
    -0.54
     виправивши
    -0.53
    Rhestr
    -0.53
    Życiorys
    -0.52
     Nespresso
    -0.52
     refuser
    -0.51
     tabindex
    -0.51
     sayang
    -0.51
    unref
    -0.51
     Lidl
    -0.51
    POSITIVE LOGITS
     drag
    0.79
     Drag
    0.73
     חיצוניים
    0.70
    drag
    0.68
    DebuggerNonUser
    0.65
     muscle
    0.64
     Muscle
    0.64
     Resto
    0.63
     Camaro
    0.61
     Edel
    0.60
    Activations Density 0.147%

    No Known Activations