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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1400
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    terms related to classical and cardiovascular risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -0.50
    @[+][
    -0.43
    RTEX
    -0.42
     Roskov
    -0.41
    usiai
    -0.41
    ombras
    -0.40
    Lus
    -0.38
    DispatchToProps
    -0.38
    chartInstance
    -0.37
     disambiguazione
    -0.37
    POSITIVE LOGITS
    ther
    0.75
     interference
    0.63
     Cer
    0.63
    thers
    0.58
    ara
    0.57
     welfare
    0.57
     visual
    0.56
     createState
    0.56
     ther
    0.55
     VISUAL
    0.54
    Activations Density 0.401%

    No Known Activations