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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 225
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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 @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACHUSET
    -0.34
    RetentionPolicy
    -0.34
    blico
    -0.34
     yyb
    -0.33
    kür
    -0.30
     sza
    -0.30
    internalType
    -0.30
    ItemCount
    -0.30
     musikk
    -0.29
     menyal
    -0.29
    POSITIVE LOGITS
     striker
    1.41
     winger
    1.19
     forward
    1.16
     strikers
    1.15
     midfielder
    1.14
     attacker
    1.13
     forwards
    1.10
    striker
    1.05
     attacking
    1.02
     wing
    1.01
    Activations Density 0.234%

    No Known Activations