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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15412
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    Explanations

    names and ranks of military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegistryLite
    -0.42
     nakalista
    -0.38
     Taktlose
    -0.36
    fromnode
    -0.35
     behar
    -0.35
    Chham
    -0.34
     dø
    -0.34
     cumplido
    -0.33
     str
    -0.32
    ColumnHeaders
    -0.32
    POSITIVE LOGITS
     sailors
    0.84
     Sailors
    0.83
     sailor
    0.82
     Navy
    0.81
     Naval
    0.80
     Marine
    0.75
     Sailor
    0.74
    Navy
    0.73
    sailor
    0.72
     naval
    0.71
    Activations Density 0.261%

    No Known Activations