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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3286
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    Explanations

    references to vegetables and vegetarian-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.85
    IBOutlet
    -0.82
     Kardashian
    -0.78
    JDK
    -0.78
     AttributeSet
    -0.76
    fara
    -0.74
    uxxxx
    -0.73
     JDK
    -0.70
     Tequila
    -0.69
    forName
    -0.69
    POSITIVE LOGITS
     vegetable
    1.19
     vegetables
    1.16
    Vegetable
    1.16
     Vegetable
    1.14
     veg
    1.13
     Vegetables
    1.02
     Veg
    1.01
     Renew
    0.99
    vegetable
    0.96
     renew
    0.94
    Activations Density 0.060%

    No Known Activations