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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 14790
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    Explanations

    references to clothing items, particularly pants and jeans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bbons
    -0.57
    vements
    -0.54
     fore
    -0.54
    letor
    -0.53
    rungsseite
    -0.53
     win
    -0.53
    الصفحه
    -0.51
     victory
    -0.51
     nakalista
    -0.51
     voter
    -0.51
    POSITIVE LOGITS
     jeans
    1.27
     knees
    1.25
     pants
    1.25
     trousers
    1.21
     Pants
    1.11
     knee
    1.10
     pantalon
    1.10
    knee
    1.06
    jeans
    1.05
     pantaloni
    1.03
    Activations Density 0.313%

    No Known Activations