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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. 7172
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    references to specific sports teams and their achievements

    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
    AddField
    -0.50
    ScopeManager
    -0.50
    antd
    -0.50
    libft
    -0.49
     leg
    -0.47
    Cinem
    -0.46
     Geraadpleegd
    -0.46
     numberWith
    -0.46
     AsyncTask
    -0.45
     ddelweddau
    -0.45
    POSITIVE LOGITS
     winning
    0.99
     vincere
    0.82
     wins
    0.82
    Winning
    0.80
     rebuilding
    0.77
    winning
    0.77
     victories
    0.77
     success
    0.76
     Winning
    0.76
     playoffs
    0.74
    Activations Density 0.227%

    No Known Activations