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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12835
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    Explanations

    references to specific events and participants in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AutoresizingMask
    -0.62
     Signalez
    -0.61
     Roskov
    -0.59
    хьтан
    -0.59
    цездатний
    -0.59
    WithIOException
    -0.59
    StoryboardSegue
    -0.57
    withIdentifier
    -0.56
     препратки
    -0.56
    localctx
    -0.55
    POSITIVE LOGITS
     Kolkata
    0.84
     Calcutta
    0.79
    Kolkata
    0.76
     Bengal
    0.71
     Bengali
    0.60
    olkata
    0.53
    Bengal
    0.52
     Trin
    0.51
     West
    0.48
    cutta
    0.47
    Activations Density 0.130%

    No Known Activations