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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. 5881
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    Explanations

    references to specific trails and paths

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

    names of geographic locations and geographic features (like trails, rivers, counties, cities, and roads).

    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
     Sarawak
    -0.44
     Minang
    -0.38
     Guildford
    -0.35
     Kerala
    -0.33
     Malayalam
    -0.33
    Kerala
    -0.33
     Guay
    -0.33
    ámenes
    -0.33
     vectoriales
    -0.33
     Melayu
    -0.32
    POSITIVE LOGITS
     Chicago
    1.91
    Chicago
    1.82
     chicago
    1.66
     CHICAGO
    1.64
     Illinois
    1.62
    Illinois
    1.53
    CHICAGO
    1.52
    chicago
    1.48
     ILLINOIS
    1.33
    シカ
    1.09
    Activations Density 0.551%

    No Known Activations