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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10962
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    INDEX
    Explanations

    mentions of specific car brands, particularly BMW

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

    Bavaria and BMW

    np_acts-logits-general · gemini-2.0-flash

    Bavarian BMW

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UserScript
    -0.39
     Tyne
    -0.39
    ]=>
    -0.38
    Gdx
    -0.37
     inappro
    -0.36
    олові
    -0.36
     Belt
    -0.36
     Lampung
    -0.35
     Administrativna
    -0.35
    Belt
    -0.35
    POSITIVE LOGITS
     Bavarian
    0.94
     BMW
    0.91
     Munich
    0.90
     Bavaria
    0.88
     Bayern
    0.85
    BMW
    0.84
    Bav
    0.83
    Munich
    0.82
     bav
    0.78
     bmw
    0.76
    Activations Density 0.071%

    No Known Activations