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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9566
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    references to sports teams and their players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gridy
    -0.45
     piacere
    -0.40
     prakti
    -0.38
    دانشنامهٔ
    -0.37
     HFILL
    -0.36
    Havolalar
    -0.35
    Spoljašnje
    -0.35
    corbic
    -0.35
     enforcement
    -0.35
    pecabe
    -0.35
    POSITIVE LOGITS
     throwing
    0.81
     Throwing
    0.79
     throw
    0.77
     quarterback
    0.76
     threw
    0.76
    throwing
    0.74
     throws
    0.73
     quarterbacks
    0.73
     QB
    0.72
    Throwing
    0.72
    Activations Density 0.126%

    No Known Activations