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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9993
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    Explanations

    geographical references and features related to mountains and natural landscapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebServlet
    -0.54
    Geplaatst
    -0.48
    IntentFilter
    -0.47
     Chicago
    -0.46
    Chicago
    -0.43
    __':
    -0.43
     CHICAGO
    -0.43
     chicago
    -0.43
     sabbia
    -0.40
     Illinois
    -0.39
    POSITIVE LOGITS
     mountain
    1.05
    mountain
    1.04
    Mountain
    1.02
     Mountain
    1.00
     mountaine
    0.99
     mountainous
    0.98
     mountains
    0.96
    🏔
    0.91
     Mountains
    0.91
     MOUNTAIN
    0.88
    Activations Density 0.625%

    No Known Activations