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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2495
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    Explanations

    cooking instructions and scientific processes involving homogenization and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ponses
    -0.45
     regular
    -0.32
    ValueStyle
    -0.31
    ंदीखरीदारी
    -0.30
     voors
    -0.30
     berechtigt
    -0.30
     teratur
    -0.29
     Curtains
    -0.29
     yoktur
    -0.29
     Aris
    -0.29
    POSITIVE LOGITS
     grind
    0.76
     grinding
    0.71
     surla
    0.69
     blender
    0.66
     grinder
    0.65
    rawDesc
    0.65
     nakalista
    0.64
     initComponents
    0.61
     Grinding
    0.57
    Grind
    0.57
    Activations Density 0.273%

    No Known Activations