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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. 11624
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    Explanations

    materials and their characteristics, particularly focusing on plastics, metals, and rubbers used in various products

    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
     '\\;'
    -0.58
    DockStyle
    -0.53
     doInBackground
    -0.52
     AssemblyCulture
    -0.52
     ModelExpression
    -0.50
     święta
    -0.50
    abestanden
    -0.50
    ValueStyle
    -0.48
     rodillas
    -0.47
     estabiliz
    -0.47
    POSITIVE LOGITS
     glass
    0.77
     plastic
    0.75
     leather
    0.73
     Plastic
    0.72
    glass
    0.71
     rubber
    0.71
     wooden
    0.66
     Glass
    0.65
     metal
    0.63
     steel
    0.62
    Activations Density 0.834%

    No Known Activations