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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 96074
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    Explanations

    references to sports teams, particularly in baseball and hockey contexts

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

    sports teams and stadiums

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PropertyChanging
    -0.45
    SerializeField
    -0.44
    Namara
    -0.41
    Voci
    -0.40
    ṳ
    -0.39
     Johansen
    -0.39
     Marino
    -0.38
     Shankar
    -0.38
     Cress
    -0.38
     MQ
    -0.38
    POSITIVE LOGITS
     Cubs
    2.30
     cubs
    1.07
    ubs
    0.86
    rigley
    0.81
     Dodgers
    0.77
     béisbol
    0.68
    Bears
    0.66
     Bears
    0.65
     Leafs
    0.61
     Yankees
    0.60
    Activations Density 0.001%

    No Known Activations