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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. 10606
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    Explanations

    various expressions of abundance or quantity

    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
    adaptiveStyles
    -0.69
     Roskov
    -0.63
    Autoritní
    -0.59
    IntoConstraints
    -0.58
    batore
    -0.57
     Normdatei
    -0.54
    AnchorTagHelper
    -0.54
    ScopeManager
    -0.53
     IFTT
    -0.50
    ViewInit
    -0.49
    POSITIVE LOGITS
     many
    0.89
     MANY
    0.84
    many
    0.77
     viele
    0.73
    Many
    0.72
     Many
    0.71
    MANY
    0.71
     banyak
    0.69
     thousands
    0.68
     lots
    0.68
    Activations Density 0.258%

    No Known Activations