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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10455
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    INDEX
    Explanations

    high-scoring plays and statistics related to American football

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

    scoring in sports

    np_acts-logits-general · gemini-2.0-flash

    yard run or touchdowns

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clause
    -0.44
     agent
    -0.44
    warzys
    -0.42
    muerzo
    -0.42
    uxxxx
    -0.42
     muzzle
    -0.41
     viera
    -0.41
    žev
    -0.41
     Agent
    -0.40
    ftrag
    -0.40
    POSITIVE LOGITS
     touchdown
    0.61
     touchdowns
    0.54
     score
    0.45
     scores
    0.43
    期刊论文
    0.41
    DataSnapshot
    0.41
    ExecuteReader
    0.40
    featureID
    0.39
     Schluss
    0.39
     scoring
    0.39
    Activations Density 0.097%

    No Known Activations