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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7363
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    Explanations

    references to football players and their positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.61
     Administrativna
    -0.58
     surla
    -0.57
    :✨
    -0.55
     HasFactory
    -0.52
    Билгалдахарш
    -0.49
     ProtoMessage
    -0.48
     AppCompatTheme
    -0.47
    AndEndTag
    -0.47
     AspNetCore
    -0.47
    POSITIVE LOGITS
     offensive
    1.09
     defensive
    0.91
     tight
    0.91
     cornerback
    0.86
     Offensive
    0.85
     linebacker
    0.82
     guard
    0.82
     quarterback
    0.80
    offensive
    0.79
     wide
    0.76
    Activations Density 0.183%

    No Known Activations