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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7486
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    Explanations

    references to model names and specific attributes of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.49
    PropertyChanging
    -0.47
    WritableDatabase
    -0.47
     protoimpl
    -0.43
     kaarangay
    -0.43
     Linkedin
    -0.42
    noopener
    -0.41
    iettivo
    -0.41
    afone
    -0.41
     kepad
    -0.41
    POSITIVE LOGITS
     truck
    0.49
    Truck
    0.44
    RectangleBorder
    0.42
     tibur
    0.42
     trucks
    0.42
     dakota
    0.41
     cum
    0.40
    stang
    0.40
     AssemblyTitle
    0.40
     Truck
    0.39
    Activations Density 0.284%

    No Known Activations