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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11545
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    Explanations

    references to nutrients and micronutrient deficiencies, particularly iron

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EDEFAULT
    -0.47
     Normdatei
    -0.47
     IFTT
    -0.40
    DialogContent
    -0.40
     crossorigin
    -0.39
     initComponents
    -0.39
     Warburton
    -0.39
     esterni
    -0.38
     فريبيس
    -0.38
    wapV
    -0.38
    POSITIVE LOGITS
     iron
    2.72
     Iron
    2.53
    Iron
    2.39
     IRON
    2.31
    iron
    2.27
    IRON
    2.05
     hierro
    1.88
    铁
    1.80
     irons
    1.80
    鐵
    1.64
    Activations Density 0.504%

    No Known Activations