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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7744
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    Explanations

    references to sports leagues, particularly NBA and NHL, and relevant statistics or related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    postsleuth
    -0.46
     useAppContext
    -0.43
     betweenstory
    -0.43
    ️⃣
    -0.41
     Maddox
    -0.41
     reaſon
    -0.40
     jax
    -0.40
    ṳ
    -0.40
    }],
    -0.39
    ǥ
    -0.39
    POSITIVE LOGITS
     صوتيه
    0.64
     NBA
    0.61
     MLB
    0.58
    NASA
    0.52
    NHL
    0.52
    FIFA
    0.51
     UNESCO
    0.51
     NASA
    0.51
    MLB
    0.50
     FIFA
    0.48
    Activations Density 1.757%

    No Known Activations