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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7881
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    Explanations

    specific types of collagen and their applications in medical or cosmetic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AutoScaleMode
    -0.47
    ]")]
    -0.44
    tagext
    -0.41
     initComponents
    -0.40
    Pautan
    -0.40
    dflare
    -0.40
    ukkig
    -0.40
    новниш
    -0.39
    enterOuterAlt
    -0.38
    ismet
    -0.37
    POSITIVE LOGITS
     repairing
    0.82
     hydrating
    0.78
     nourishing
    0.77
    Repair
    0.75
     repair
    0.72
    repair
    0.71
     Repair
    0.68
     nourishment
    0.67
     moisturizing
    0.63
     nourish
    0.63
    Activations Density 0.155%

    No Known Activations