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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 11903
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    Explanations

    references to fouls, injuries, and disciplinary actions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſta
    -0.60
     preſent
    -0.59
     Perſ
    -0.58
     ſtre
    -0.56
     houſe
    -0.55
     Reſ
    -0.55
     ſtate
    -0.54
     tartalomajánló
    -0.53
     ſtand
    -0.53
    richTextPanel
    -0.52
    POSITIVE LOGITS
     foul
    0.72
     fouls
    0.67
    foul
    0.61
     fouling
    0.59
    fou
    0.59
     fou
    0.56
     yellow
    0.54
     flagrant
    0.52
     blatant
    0.50
     infractions
    0.49
    Activations Density 0.108%

    No Known Activations