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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5595
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    Explanations

    aspects related to vehicles and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.60
     незавершена
    -0.60
    windowFixed
    -0.52
    Uninitialized
    -0.49
    StoryboardSegue
    -0.48
    FieldBuilder
    -0.46
    oredCriteria
    -0.45
    ConstraintMaker
    -0.44
    Cyfarwyddwr
    -0.43
     surla
    -0.43
    POSITIVE LOGITS
     rims
    0.88
     rim
    0.83
     wheels
    0.80
     wheel
    0.75
     spokes
    0.74
     spoke
    0.70
     Rim
    0.66
    Rim
    0.66
     hub
    0.65
     alloy
    0.62
    Activations Density 0.186%

    No Known Activations