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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 3125
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    INDEX
    Explanations

    the use of the term "literal" and its variants to address language nuances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.63
    YourGuide
    -0.54
    amentals
    -0.53
     EconPapers
    -0.52
     RSSSF
    -0.52
     iſt
    -0.52
     ſche
    -0.50
     Normdatei
    -0.49
    AsUp
    -0.49
     ſch
    -0.48
    POSITIVE LOGITS
     Literally
    1.12
    literally
    1.10
     literally
    1.10
     literal
    1.07
    Literally
    1.02
    literal
    0.99
     literalmente
    0.97
     metaphorical
    0.93
     figurative
    0.92
     metaphor
    0.88
    Activations Density 0.140%

    No Known Activations