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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4844
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    INDEX
    Explanations

    references to specific automotive parts and their conditions

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

    Prepositions: of, s, to

    np_acts-logits-general · gemini-2.0-flash

    installing car parts

    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
     توانند
    -0.53
    arate
    -0.51
     Lad
    -0.49
     Lázaro
    -0.48
     microondas
    -0.48
    weisung
    -0.48
     ब्रेकडाउन
    -0.47
    contracts
    -0.47
    frey
    -0.47
     بام
    -0.47
    POSITIVE LOGITS
     install
    0.86
     stock
    0.82
     aftermarket
    0.80
     Install
    0.80
     installed
    0.79
     installing
    0.77
    Installed
    0.76
     Installed
    0.73
    Fitment
    0.72
     Installing
    0.69
    Activations Density 0.081%

    No Known Activations