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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2485
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    Explanations

    keywords related to tire components and their characteristics

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

    tires or tyres

    np_acts-logits-general · gemini-2.0-flash

    vehicle tires and tyres

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    queryInterface
    -0.40
     snippetHide
    -0.38
    церт
    -0.37
    StringBuilder
    -0.37
     confocal
    -0.36
    tb
    -0.36
    êques
    -0.36
    Uris
    -0.36
     själ
    -0.35
    sianic
    -0.35
    POSITIVE LOGITS
     tires
    0.83
     tyres
    0.75
     Tires
    0.74
    Tires
    0.68
     tyre
    0.66
    gestone
    0.65
    Tire
    0.65
     Tire
    0.63
    tires
    0.61
     neumáticos
    0.61
    Activations Density 0.076%

    No Known Activations