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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4640
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    references to vampires and their characteristics in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pushFollow
    -0.44
     inspiradoras
    -0.43
    lacable
    -0.42
     poffible
    -0.42
    Thrown
    -0.42
    小人
    -0.42
    Idem
    -0.41
     idem
    -0.41
     Sprung
    -0.40
     Hòa
    -0.40
    POSITIVE LOGITS
     vampire
    1.02
     vampires
    0.93
     Vampire
    0.84
     Vamp
    0.77
    Vampire
    0.73
    vampire
    0.73
     Dracula
    0.70
    Dracula
    0.66
     vamp
    0.65
    Vamp
    0.63
    Activations Density 0.299%

    No Known Activations