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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2368
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    Explanations

    numerical statistics related to goal-scoring achievements in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SqlDbType
    -0.45
    xodo
    -0.42
     ioutil
    -0.41
     surveying
    -0.40
     DbSet
    -0.40
    ResourceManager
    -0.39
     Schwert
    -0.38
    marion
    -0.38
    __))
    -0.38
    庁
    -0.38
    POSITIVE LOGITS
     goals
    1.40
     Goals
    1.09
    Goals
    1.09
    goals
    1.08
     goal
    1.04
     scored
    0.99
     GOALS
    0.92
     scoring
    0.88
     goles
    0.83
    goal
    0.83
    Activations Density 0.219%

    No Known Activations