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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 9852
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    phrases related to team composition and performance in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    MigrationBuilder
    -0.54
    RenderAtEndOf
    -0.48
    zeiti
    -0.43
     Behör
    -0.42
    terscotch
    -0.42
    "-"
    -0.39
    LookAnd
    -0.39
    '-'
    -0.39
    MEDIUM
    -0.39
     vùng
    -0.39
    POSITIVE LOGITS
     recruits
    0.63
     recruitment
    0.61
     recruited
    0.60
    MLLoader
    0.60
     hires
    0.59
     staffing
    0.57
     roster
    0.56
    StoryboardSegue
    0.55
     recruit
    0.54
     recrutement
    0.54
    Activations Density 0.861%

    No Known Activations