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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2672
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    Explanations

    key players and their performances in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Proper nouns followed by another proper noun

    np_acts-logits-general · gemini-2.0-flash

    sports names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     concha
    -0.49
    TargetException
    -0.42
     Ostro
    -0.41
    +#+#
    -0.41
     sensorial
    -0.40
     research
    -0.40
     organized
    -0.39
     Sabina
    -0.39
    organized
    -0.39
    queryInterface
    -0.39
    POSITIVE LOGITS
     GetEnumerator
    0.52
     rookie
    0.52
     teammates
    0.48
    Notae
    0.47
     teammate
    0.47
    aarrggbb
    0.47
    دانشنامهٔ
    0.46
     rookies
    0.46
     Rookie
    0.45
     skipper
    0.44
    Activations Density 0.171%

    No Known Activations