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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 4090
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    Explanations

    words related to eating and food consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BagConstraints
    -0.54
    BufferException
    -0.52
    TargetException
    -0.51
    andoah
    -0.48
    Française
    -0.48
    verick
    -0.48
     unangemessene
    -0.47
    vidence
    -0.46
    illigen
    -0.45
    ControllerAdvice
    -0.45
    POSITIVE LOGITS
     eat
    3.31
     eating
    2.97
     Eat
    2.89
    Eat
    2.89
     eats
    2.77
    eat
    2.67
     eaten
    2.66
     Eating
    2.64
    Eating
    2.61
     ate
    2.48
    Activations Density 0.078%

    No Known Activations