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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. 5587
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    Explanations

    nutritional deficiencies and deficiencies in micronutrients

    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
    tvguidetime
    -0.81
     doubtnut
    -0.74
    Попис
    -0.72
     myſelf
    -0.71
    ſelf
    -0.71
     greateſt
    -0.70
     photolibrary
    -0.70
    ंदीखरीदारी
    -0.68
     linkovi
    -0.67
     jir
    -0.67
    POSITIVE LOGITS
     متعلقه
    0.76
     caffeine
    0.56
     Caffeine
    0.56
    ffeine
    0.54
     calcium
    0.53
     cholesterol
    0.49
    rubin
    0.49
     nitrogen
    0.47
     dopamine
    0.47
     iron
    0.47
    Activations Density 1.671%

    No Known Activations