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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 15320
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    Explanations

    details about tires and wheels in automotive contexts

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

    relating to tires or wheels

    np_acts-logits-general · gemini-2.0-flash

    tire, wheels, traction, propeller pitch

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VersionUID
    -0.41
     acciones
    -0.39
     doğal
    -0.38
     acuerdos
    -0.38
     cintas
    -0.36
     intenciones
    -0.36
     ehre
    -0.35
    "])){
    -0.35
     cinta
    -0.35
    ActionListener
    -0.35
    POSITIVE LOGITS
     tyre
    0.82
     tyres
    0.76
     AssemblyCulture
    0.72
     Tire
    0.69
     tires
    0.66
     Tyres
    0.65
     tire
    0.63
    RTLI
    0.62
     Tires
    0.61
    ########.
    0.60
    Activations Density 0.123%

    No Known Activations