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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 310
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    Explanations

    chemical substances and their applications in various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     zout
    -0.37
     barro
    -0.36
     zucca
    -0.34
    exitRule
    -0.34
    jednoc
    -0.34
     Palmas
    -0.34
    mazoo
    -0.33
    arXiv
    -0.33
     repertorio
    -0.32
     समीक्षक
    -0.32
    POSITIVE LOGITS
     cosmetics
    0.81
     paints
    0.78
     pharmaceuticals
    0.75
     cosmetic
    0.74
     pharmaceutical
    0.73
     InputDecoration
    0.72
     toothpaste
    0.72
     medicines
    0.70
     medicine
    0.69
     paint
    0.68
    Activations Density 1.052%

    No Known Activations