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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. 5581
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    Explanations

    mentions of football teams and players, particularly in relation to their performances and managerial situations

    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
     promocional
    -0.54
    Hentet
    -0.45
     bénévoles
    -0.45
    Карьера
    -0.44
    PullParser
    -0.43
    bkz
    -0.43
    ModelAdmin
    -0.42
     bisiklet
    -0.41
     Fernsehen
    -0.40
     télévis
    -0.40
    POSITIVE LOGITS
    Pep
    0.50
     Pep
    0.49
    Conte
    0.49
     Conte
    0.46
    atici
    0.45
     Brighton
    0.45
     Klopp
    0.44
     Arteta
    0.44
     Edouard
    0.44
    Brighton
    0.43
    Activations Density 0.063%

    No Known Activations