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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. 52515
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    Explanations

    references to the Green Bay Packers football team and related individuals

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

    Green Bay Packers

    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
     vtk
    -0.35
     Schwan
    -0.34
    tslib
    -0.33
     Crum
    -0.33
     strange
    -0.33
     Karp
    -0.32
    止ま
    -0.31
     components
    -0.31
    toPromise
    -0.31
    Mod
    -0.30
    POSITIVE LOGITS
     Packers
    2.47
     Packer
    1.66
     packers
    1.51
     packer
    1.33
    packer
    1.13
    Personendaten
    1.05
     Packing
    0.89
    Pack
    0.85
    packing
    0.83
    Packing
    0.82
    Activations Density 0.003%

    No Known Activations