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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1272
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    Explanations

    references to gyms and fitness-related concepts, as well as terms related to grains and grain properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ſelves
    -0.85
     ſch
    -0.82
     myſelf
    -0.80
     ſtand
    -0.79
     Jefus
    -0.79
     itſelf
    -0.79
     Eſ
    -0.78
     houſe
    -0.77
     laſt
    -0.73
     leaſt
    -0.73
    POSITIVE LOGITS
     Que
    0.79
    Que
    0.67
    que
    0.67
     que
    0.65
     como
    0.63
     comme
    0.57
     QUE
    0.53
     donde
    0.51
     Como
    0.50
     plásticos
    0.47
    Activations Density 0.166%

    No Known Activations