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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. 11654
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    Explanations

    specific locations and team names related to sports events

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

    proper nouns and geographic locations, particularly place names like Tampa, Bay, and cities.

    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
    crollView
    -0.39
    libft
    -0.38
    ptonshire
    -0.33
    IBOutlet
    -0.33
    InitVars
    -0.32
    front
    -0.32
     MessageBoxIcon
    -0.30
    atschappij
    -0.30
    הערות
    -0.30
    glu
    -0.29
    POSITIVE LOGITS
     Tampa
    1.10
    Tampa
    0.97
     Hillsborough
    0.85
    tampa
    0.80
     tampa
    0.73
     Gaspar
    0.66
     Clearwater
    0.64
     AssemblyCulture
    0.64
     USF
    0.63
     Bucs
    0.60
    Activations Density 0.090%

    No Known Activations