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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6854
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    Explanations

    references to geographical features, particularly mountains and their regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UserScript
    -0.47
    
    -0.43
     חיצוניים
    -0.41
    сылкі
    -0.41
    DIPSETTING
    -0.40
    onedDateTime
    -0.36
    思い
    -0.36
     livelli
    -0.35
     jsPsych
    -0.35
    chables
    -0.34
    POSITIVE LOGITS
     mountains
    1.12
     Mountains
    1.02
    mountains
    1.01
     mountain
    0.91
    Mountains
    0.90
     montañas
    0.81
     Mountain
    0.77
    mountain
    0.74
     MOUNTAIN
    0.73
    Mountain
    0.72
    Activations Density 0.211%

    No Known Activations