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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 16255
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    Explanations

    references to the concept of entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Erscheinung
    -0.46
     getLogin
    -0.45
     Matériau
    -0.45
     WorldCat
    -0.44
     newUser
    -0.43
     doigt
    -0.43
     Investigaciones
    -0.43
     getLayout
    -0.42
     roleId
    -0.40
     PyObject
    -0.40
    POSITIVE LOGITS
     purpose
    0.78
     entertainment
    0.76
     exercise
    0.75
     entertain
    0.75
    satis
    0.72
     Satis
    0.68
     entertaining
    0.65
    Satis
    0.65
     entertainments
    0.63
    Purpose
    0.63
    Activations Density 0.235%

    No Known Activations