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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. 13778
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    Explanations

    mentions of specific marine animals or diving experiences

    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
     ferrovia
    -0.67
     getItemId
    -0.63
    didSet
    -0.62
    __":
    -0.60
    市镇
    -0.58
    SequentialGroup
    -0.58
     agrí
    -0.57
     Travers
    -0.57
    colta
    -0.55
    racia
    -0.54
    POSITIVE LOGITS
     dive
    1.20
     diving
    0.99
     dives
    0.95
     Dive
    0.95
     diver
    0.92
    Dive
    0.89
    dive
    0.88
     divers
    0.87
     scuba
    0.84
     dived
    0.83
    Activations Density 0.168%

    No Known Activations