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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. 7918
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    Explanations

    references to generic or standardized entities, particularly related to "leg" or "legs"

    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
     Италијани
    -0.56
    AddTagHelper
    -0.52
     дописавши
    -0.52
     autorytatywna
    -0.46
     ویکی‌پدی
    -0.45
     kaynağından
    -0.44
    ")));
    -0.43
     незавершена
    -0.43
    istoitu
    -0.43
    findpost
    -0.42
    POSITIVE LOGITS
     legs
    1.16
     Legs
    0.98
    legs
    0.86
    Legs
    0.83
     leg
    0.69
     Matt
    0.69
    Matt
    0.68
    credentials
    0.66
     credentials
    0.66
     feet
    0.64
    Activations Density 0.055%

    No Known Activations