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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 4129
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    Explanations

    references to soccer players and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     censura
    -0.43
    aufnahme
    -0.39
     Entwurf
    -0.39
     Navarra
    -0.38
    ]")]
    -0.36
     favore
    -0.36
     encar
    -0.35
     colgante
    -0.35
    entliche
    -0.35
     Gallimard
    -0.34
    POSITIVE LOGITS
     coaches
    0.73
     Coaches
    0.69
     coaching
    0.66
     coached
    0.65
     coach
    0.63
    Coaches
    0.63
     lacrosse
    0.59
     Coach
    0.59
     juniors
    0.58
     futsal
    0.57
    Activations Density 0.142%

    No Known Activations