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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4923
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    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.73
     resourceCulture
    -0.70
    です
    -0.56
     queſta
    -0.52
    tagHelperRunner
    -0.51
    länge
    -0.49
     PeEnEo
    -0.47
     arşivlendi
    -0.46
    ize
    -0.46
     noDo
    -0.46
    POSITIVE LOGITS
    las
    0.54
    ld
    0.50
    ly
    0.44
    ade
    0.43
    ao
    0.42
    isContained
    0.39
    ama
    0.38
    air
    0.38
    ah
    0.38
    ので
    0.37
    Activations Density 0.262%

    No Known Activations