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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 16132
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    Explanations

    references to mountains and mountainous regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DELHI
    -0.78
    ukkah
    -0.71
    asString
    -0.69
     Brentford
    -0.68
     Warrington
    -0.65
     CHICAGO
    -0.64
     Depp
    -0.63
     BEDROOM
    -0.63
    VOID
    -0.62
    çais
    -0.60
    POSITIVE LOGITS
     mountain
    1.53
     Mountain
    1.53
     Mount
    1.45
     mountains
    1.41
    Mountain
    1.41
    Mount
    1.38
     hills
    1.37
     hill
    1.32
     Mountains
    1.30
    mountain
    1.30
    Activations Density 0.172%

    No Known Activations