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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5218
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    Explanations

    references to specific diseases or conditions related to geriatrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 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
     kasarigan
    -0.52
    SourceChecksum
    -0.52
    ganza
    -0.48
    Referencies
    -0.47
     Stephenson
    -0.43
     Stanton
    -0.43
     Tại
    -0.42
     Chowdhury
    -0.42
     koko
    -0.41
    ageo
    -0.41
    POSITIVE LOGITS
     ger
    0.96
     Ger
    0.73
    Ger
    0.71
     GER
    0.63
     frost
    0.57
     dressing
    0.55
     leap
    0.55
    ger
    0.53
     Kno
    0.52
    GER
    0.52
    Activations Density 1.292%

    No Known Activations