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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11202
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    comments assessing the quality of storytelling and character development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
     exempted
    -0.46
     Farmers
    -0.45
     Looked
    -0.44
    polazione
    -0.43
    CloseOperation
    -0.43
     Neighbourhood
    -0.42
    Communities
    -0.42
     Prepar
    -0.42
    RTLD
    -0.41
    loggedin
    -0.41
    POSITIVE LOGITS
    AnchorStyles
    0.63
     plot
    0.47
     storyline
    0.46
     narrative
    0.46
     pageContext
    0.44
     chapters
    0.44
     storylines
    0.43
     storytelling
    0.43
     pacing
    0.42
     intense
    0.41
    Activations Density 0.235%

    No Known Activations