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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8289
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    Explanations

    mentions of specific sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BindingSource
    -0.43
     derro
    -0.39
    Concluding
    -0.39
     frambo
    -0.39
    javax
    -0.39
     salv
    -0.38
    UIControl
    -0.38
     bekasi
    -0.38
    iformes
    -0.38
    évaluateur
    -0.37
    POSITIVE LOGITS
     strategy
    0.66
     estrategia
    0.61
     defensively
    0.60
     tactic
    0.57
     tactics
    0.56
     estratégia
    0.56
     tac
    0.55
     formations
    0.55
     stratégie
    0.55
     defensive
    0.54
    Activations Density 0.146%

    No Known Activations