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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8509
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    specific vehicle models and their performance metrics in automotive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setOptions
    -0.35
     Mitarbeit
    -0.32
     amac
    -0.30
    :
    -0.30
     Aprend
    -0.30
    ً
    -0.29
     insgesamt
    -0.28
    ScreenState
    -0.27
    MessageState
    -0.26
     emocionante
    -0.26
    POSITIVE LOGITS
    parsedMessage
    0.84
     referrerpolicy
    0.75
     queſta
    0.74
     يتيمه
    0.69
     NavController
    0.67
    Rohy
    0.66
    RTCK
    0.65
    Дерекк
    0.65
    UrlResolution
    0.64
     UserModel
    0.63
    Activations Density 0.396%

    No Known Activations