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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 11321
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    Explanations

    references to diseases and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Daß
    -0.47
     հղումներ
    -0.46
     uș
    -0.43
     eenvou
    -0.43
    tivitas
    -0.43
     komende
    -0.43
    OrWhiteSpace
    -0.42
     aikaa
    -0.42
     zonne
    -0.41
    Toole
    -0.41
    POSITIVE LOGITS
     dataset
    1.03
     disease
    0.90
     illness
    0.82
     wound
    0.77
    Disease
    0.76
    disease
    0.76
     Disease
    0.75
     Krankheit
    0.74
     injury
    0.71
     ailment
    0.71
    Activations Density 0.287%

    No Known Activations