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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 9-GEMMASCOPE-RES-16K
    6. 492
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    Explanations

    brands and models of vehicles in a marketing context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.82
    rungsseite
    -0.80
    +#+#
    -0.78
    iNdEx
    -0.73
    LayoutParams
    -0.72
    ustering
    -0.70
    ToBounds
    -0.70
    ">'.$
    -0.68
     CascadeType
    -0.68
     TextInputType
    -0.68
    POSITIVE LOGITS
     Ford
    0.70
     Sony
    0.62
     Toyota
    0.62
     Chevrolet
    0.60
     Samsung
    0.58
     Honda
    0.57
     Disney
    0.57
    Sony
    0.55
     IBM
    0.53
     FORD
    0.53
    Activations Density 0.239%

    No Known Activations