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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9379
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    Explanations

    occurrences of goal-scoring achievements in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     erbjud
    -0.45
    ectady
    -0.41
    SaveChanges
    -0.40
     Harrington
    -0.40
     Ritter
    -0.38
     lác
    -0.38
     Christine
    -0.38
     pavements
    -0.37
     Masyarakat
    -0.37
     patronage
    -0.36
    POSITIVE LOGITS
     goals
    2.19
     goal
    2.06
    goals
    1.81
     Goals
    1.78
    goal
    1.75
    Goals
    1.73
     Goal
    1.66
     GOALS
    1.55
    Goal
    1.54
     GOAL
    1.53
    Activations Density 0.212%

    No Known Activations