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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15425
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    Explanations

    proper nouns, specifically names of players and teams in football contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     raiſ
    -0.62
     myſelf
    -0.60
    ⓧ
    -0.59
     uſed
    -0.58
     iconLine
    -0.57
     itſelf
    -0.56
     Majefty
    -0.56
     quæ
    -0.56
    ActionCreators
    -0.56
     Cæsar
    -0.55
    POSITIVE LOGITS
     виправивши
    0.80
    +#+#
    0.62
    DotNetBar
    0.55
    adə
    0.54
     समीक्षाएं
    0.53
     estekak
    0.53
     denk
    0.52
     scored
    0.51
     שוליים
    0.50
    apunov
    0.49
    Activations Density 0.143%

    No Known Activations