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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11423
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    INDEX
    Explanations

    terms related to dietary impacts and health associations in studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    after comma in scientific texts

    np_acts-logits-general · gemini-2.0-flash

    dietary intake and exposures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wikiseite
    -0.54
    évaluateur
    -0.54
     wikipagina
    -0.46
    SequentialGroup
    -0.46
    )_/¯
    -0.44
     starve
    -0.44
    🎳
    -0.42
    Viited
    -0.42
    scriptId
    -0.41
     starving
    -0.41
    POSITIVE LOGITS
     exposures
    0.62
     AssemblyCulture
    0.59
     epidemio
    0.51
    moveToFirst
    0.47
     exposure
    0.46
     Interventions
    0.46
     interventions
    0.45
    jectories
    0.45
     Expos
    0.44
     cohort
    0.44
    Activations Density 3.779%

    No Known Activations