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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6915
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    Explanations

    references to the Django web framework and mentions of Olympic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -------
    -0.48
    oa̍t
    -0.48
     Nets
    -0.47
    cabec
    -0.47
     caves
    -0.47
     ſche
    -0.47
    KeySpec
    -0.46
     disambiguazione
    -0.46
     themſelves
    -0.46
     esternos
    -0.45
    POSITIVE LOGITS
     django
    0.70
    bt
    0.66
    BT
    0.61
     Parish
    0.60
     olympique
    0.57
     pd
    0.56
     Olympic
    0.56
     parish
    0.56
     BT
    0.55
    Parish
    0.55
    Activations Density 0.129%

    No Known Activations