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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3078
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    references to the performance and statistics of sports teams, particularly in the context of football games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lorette
    -0.48
    balleur
    -0.47
     karier
    -0.46
     fame
    -0.42
    uncur
    -0.41
    #+#
    -0.41
    AndEndTag
    -0.40
     carreira
    -0.40
     career
    -0.40
    фессиона
    -0.38
    POSITIVE LOGITS
     offensively
    0.63
     offense
    0.59
    dafx
    0.58
     scoring
    0.58
     offence
    0.55
     turnovers
    0.53
     Scoring
    0.52
     offensive
    0.49
     costly
    0.46
     penalties
    0.45
    Activations Density 0.150%

    No Known Activations