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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10048
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    Explanations

    references to towns and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dieß
    -0.62
     müſſen
    -0.60
     indisponible
    -0.60
     indígen
    -0.60
    JAKARTA
    -0.59
     ſind
    -0.58
    arache
    -0.56
    읗
    -0.54
    httphttps
    -0.54
    互联网档案馆
    -0.54
    POSITIVE LOGITS
     Town
    0.57
    Town
    0.49
     town
    0.43
     square
    0.41
     TOWN
    0.39
    TOWN
    0.38
    town
    0.37
     Gown
    0.36
    end
    0.36
    es
    0.35
    Activations Density 0.074%

    No Known Activations