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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 15429
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    references to specific car brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IsContent
    -1.00
     ويكيميديا
    -0.89
    NUMX
    -0.86
     BoxFit
    -0.84
    rungsseite
    -0.84
     <=",
    -0.83
     onAnimation
    -0.82
    ChildScrollView
    -0.82
     doInBackground
    -0.81
    HandlerContext
    -0.79
    POSITIVE LOGITS
     Ford
    0.98
     Volkswagen
    0.84
     Toyota
    0.83
     Chevrolet
    0.80
     Honda
    0.78
     VW
    0.76
    Ford
    0.74
     Nissan
    0.74
     Chevy
    0.71
     FORD
    0.71
    Activations Density 0.174%

    No Known Activations