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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9565
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    Explanations

    components related to lung injury and exposure to various environmental factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TabIndex
    -0.55
    haustible
    -0.55
    chyma
    -0.53
    StoreMessageInfo
    -0.51
    PointSize
    -0.49
    sidemargin
    -0.49
    Carry
    -0.49
    setDefault
    -0.48
    vermögen
    -0.47
     confidence
    -0.47
    POSITIVE LOGITS
     exposure
    0.98
    exposure
    0.87
     exposures
    0.81
     Exposure
    0.77
    Exposure
    0.76
     prolonged
    0.76
     EXPOSURE
    0.76
     stressors
    0.66
    InputBorder
    0.64
     exposición
    0.64
    Activations Density 1.113%

    No Known Activations