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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 12046
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    Explanations

    phrases related to parks and recreational areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words and phrases related to parks, trails, and outdoor recreational areas.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     econômica
    -0.38
     ketat
    -0.37
     Werkstatt
    -0.36
     workflow
    -0.36
     loja
    -0.35
    tienda
    -0.33
     Haush
    -0.33
     shop
    -0.33
     Workflow
    -0.33
    Tienda
    -0.33
    POSITIVE LOGITS
     parks
    1.22
     park
    1.12
     playgrounds
    1.05
    parks
    0.98
     picnic
    0.96
     recreational
    0.93
     playground
    0.89
     recreation
    0.89
     Parks
    0.88
    Parks
    0.87
    Activations Density 0.282%

    No Known Activations