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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11226
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    Explanations

    concepts related to selective targeting and specificity in pharmacological applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.49
     osallist
    -0.48
    IndentedString
    -0.46
     statesman
    -0.46
    ArrowToggle
    -0.44
    VersionUID
    -0.44
    ohjel
    -0.42
     bahay
    -0.42
    Parcelize
    -0.42
     ſtate
    -0.40
    POSITIVE LOGITS
     selective
    0.65
     Selective
    0.63
     selectively
    0.63
     Targeted
    0.59
     selectivity
    0.59
     targeted
    0.59
    Selective
    0.59
    Targeted
    0.55
    selective
    0.55
    PreAuthorize
    0.54
    Activations Density 0.921%

    No Known Activations