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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 6964
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    phrases related to players' injuries and their impact on team performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GeoNames
    -0.49
    MessageTagHelper
    -0.48
     AppCompatTheme
    -0.45
     мәкал
    -0.40
    WindowConstants
    -0.40
     Infórmanos
    -0.39
    šas
    -0.38
     Administrativna
    -0.38
    LookAnd
    -0.38
    :✨
    -0.37
    POSITIVE LOGITS
     roster
    1.08
     lineup
    0.85
     depth
    0.84
     Roster
    0.82
     replacements
    0.82
     personnel
    0.82
     talent
    0.81
     veterans
    0.80
     acquisitions
    0.79
    experienced
    0.79
    Activations Density 0.254%

    No Known Activations