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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. 11813
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    Explanations

    phrases indicating effectiveness and performance in a sports context

    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
    来歴
    -0.36
     mxArray
    -0.35
    écu
    -0.35
    Ingrédients
    -0.35
     Sicherheits
    -0.34
     sécur
    -0.34
     linebacker
    -0.33
     bezpečnost
    -0.33
    canestro
    -0.31
     guard
    -0.31
    POSITIVE LOGITS
     strikers
    1.08
     striker
    1.04
     forward
    0.93
     forwards
    0.92
     delantero
    0.85
     striking
    0.81
     strike
    0.81
    striker
    0.79
    forward
    0.79
     Striker
    0.78
    Activations Density 0.149%

    No Known Activations