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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15005
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    Explanations

    words related to pharmacological treatments and their mechanisms of action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.67
     postIndex
    -0.48
     nahilalakip
    -0.46
    verwijspagina
    -0.46
    AutoresizingMask
    -0.45
     disambiguazione
    -0.45
    sizeCache
    -0.44
    parsedMessage
    -0.43
    simpleType
    -0.42
    LookAnd
    -0.42
    POSITIVE LOGITS
     drugs
    0.53
     médicaments
    0.50
     Drugs
    0.48
     antibiotics
    0.46
    drugs
    0.46
     medications
    0.45
     inhibitors
    0.43
    vermectin
    0.43
     medication
    0.43
    madol
    0.41
    Activations Density 1.519%

    No Known Activations