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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2484
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    Explanations

    references to eating and dietary practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.56
     насељу
    -0.53
    tableFuture
    -0.47
    IntoConstraints
    -0.45
    endregion
    -0.44
     initComponents
    -0.44
    ंदीखरीदारी
    -0.44
     efforts
    -0.43
    ędziesz
    -0.43
    NSIndexPath
    -0.42
    POSITIVE LOGITS
    🍴
    0.56
    🍽
    0.55
     breakfast
    0.52
     Eat
    0.50
     eat
    0.49
    Breakfast
    0.47
    Eating
    0.47
    Eat
    0.46
     habits
    0.45
     eaten
    0.45
    Activations Density 0.149%

    No Known Activations