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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14450
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    dietary patterns and health-related factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OnInit
    -0.45
    DispatchToProps
    -0.45
     GenerationType
    -0.42
     föruts
    -0.41
     يتيمه
    -0.41
     समीक्षाओं
    -0.40
    Tikang
    -0.40
    ⎩
    -0.40
    etzung
    -0.39
    CDCl
    -0.39
    POSITIVE LOGITS
    +#+
    0.54
    Consumption
    0.49
    Foods
    0.48
    PostInfinity
    0.46
    Personendaten
    0.45
     khẩu
    0.44
    oa̍t
    0.43
     pleaſure
    0.43
     Consumption
    0.42
    oneofs
    0.42
    Activations Density 0.468%

    No Known Activations