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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8964
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    Explanations

    specific player or team performance-related phrases in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     successfully
    -0.52
     successful
    -0.51
    Successful
    -0.50
     שוליים
    -0.47
    Personendaten
    -0.47
     success
    -0.46
     CanadaChoose
    -0.46
     successes
    -0.45
    successfully
    -0.45
    Successfully
    -0.44
    POSITIVE LOGITS
     losing
    0.85
     disappointing
    0.76
     lost
    0.76
     failed
    0.74
     loses
    0.73
    Losing
    0.72
     losses
    0.72
     failing
    0.72
     Losing
    0.71
     lose
    0.70
    Activations Density 0.252%

    No Known Activations