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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 14345
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    references to military ships and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marinas
    -0.63
     marina
    -0.63
    Hozzáférés
    -0.58
    providedIn
    -0.57
    Hochspringen
    -0.57
     ashore
    -0.57
    onedDateTime
    -0.57
     MARINE
    -0.55
     Boating
    -0.54
     portu
    -0.52
    POSITIVE LOGITS
     @"/
    0.66
    SequentialGroup
    0.56
     craft
    0.52
     clippers
    0.52
     bark
    0.51
     ddelweddau
    0.50
     converted
    0.49
    ']))
    0.49
    entine
    0.49
     flagship
    0.48
    Activations Density 0.160%

    No Known Activations