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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4260
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    Explanations

    references to mountain ranges and geological formations

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

    mountain ranges

    np_acts-logits-general · gemini-2.0-flash

    mountain ranges

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    сылкі
    -0.41
    DIPSETTING
    -0.40
    思い
    -0.39
    
    -0.39
    chables
    -0.35
    PageContext
    -0.34
     חיצוניים
    -0.34
     henvisninger
    -0.33
    POSITIVE LOGITS
     mountains
    1.12
     Mountains
    1.07
    mountains
    1.00
     mountain
    0.99
    Mountains
    0.94
     Mountain
    0.85
    Mountain
    0.82
     montañas
    0.81
    mountain
    0.79
     MOUNTAIN
    0.78
    Activations Density 0.239%

    No Known Activations