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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
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    Explanations

    the adverb "literally" and its usage in contexts suggesting exaggeration or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 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
    Ensuite
    -0.49
    nagy
    -0.48
     usually
    -0.46
     normalt
    -0.45
     genellikle
    -0.44
     sache
    -0.44
     normally
    -0.43
     सामान्य
    -0.43
     usual
    -0.42
    skraft
    -0.42
    POSITIVE LOGITS
     literally
    1.13
     Literally
    1.11
    literally
    1.07
    Literally
    1.06
     literalmente
    1.06
    IVEREF
    0.95
    AxisAlignment
    0.88
     literal
    0.82
     litté
    0.79
     буквально
    0.78
    Activations Density 0.128%

    No Known Activations