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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 3580
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    Explanations

    specific names of individuals, particularly in the context of Japanese names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -0.93
     purpoſe
    -0.91
    ſelf
    -0.82
     houſe
    -0.78
     ſtand
    -0.76
     reaſon
    -0.76
    ſelves
    -0.76
     myſelf
    -0.75
     uſe
    -0.73
     pleaſure
    -0.72
    POSITIVE LOGITS
     Mr
    0.61
    Mr
    0.52
    гій
    0.52
     señor
    0.50
     senhor
    0.49
     ringan
    0.48
     sir
    0.47
     récents
    0.47
     Dr
    0.46
     cappello
    0.46
    Activations Density 0.093%

    No Known Activations