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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1101
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    Explanations

    references to vampire characters and their relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.74
    contentLoaded
    -0.56
     estekak
    -0.56
    ngdoc
    -0.56
    addGap
    -0.54
    MathML
    -0.53
    SourceChecksum
    -0.53
    featureID
    -0.52
     bershka
    -0.52
     referenties
    -0.52
    POSITIVE LOGITS
     vampire
    1.46
     Vampire
    1.26
     vampires
    1.23
     vamp
    1.20
    Vampire
    1.16
    vampire
    1.15
     Vamp
    1.13
    Vamp
    1.00
    vamp
    0.98
    吸血
    0.95
    Activations Density 0.165%

    No Known Activations