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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15315
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    Explanations

    mentions of Volkswagen vehicles and their related attributes or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    windowFixed
    -0.47
     Snell
    -0.47
     بيها
    -0.44
     Kino
    -0.43
     Feather
    -0.41
     telo
    -0.40
     KENT
    -0.40
    feather
    -0.39
     Brust
    -0.39
     TreeMap
    -0.39
    POSITIVE LOGITS
     Volkswagen
    0.84
     VW
    0.81
    VW
    0.77
    Volkswagen
    0.75
     vw
    0.70
     Audi
    0.67
     TDI
    0.66
     Passat
    0.66
    volkswagen
    0.65
     GTI
    0.65
    Activations Density 0.345%

    No Known Activations