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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15357
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    references to the English language and its use in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.59
    __(/*!
    -0.48
     newBuilder
    -0.47
    fromnode
    -0.45
     Normdatei
    -0.44
    featureID
    -0.42
    Hentet
    -0.42
     <<<<<<<<<<<<<<
    -0.42
     hikariConfig
    -0.42
    RenderAtEndOf
    -0.41
    POSITIVE LOGITS
     language
    0.71
     Language
    0.63
    English
    0.62
    language
    0.61
    speaking
    0.60
     Literature
    0.59
    Language
    0.58
     literature
    0.57
     english
    0.56
    english
    0.56
    Activations Density 0.105%

    No Known Activations