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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6159
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    Explanations

    mentions of Tibet and its geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.58
     transfieras
    -0.53
    StoryboardSegue
    -0.47
     referenties
    -0.45
    الحياه
    -0.45
    CodeAttribute
    -0.43
    dflare
    -0.41
    usermodel
    -0.40
     perse
    -0.39
    msgSender
    -0.39
    POSITIVE LOGITS
     Tibetan
    0.84
     tibet
    0.77
     Tibet
    0.75
     Bhutan
    0.72
     Dalai
    0.65
    IntoConstraints
    0.56
     Sikkim
    0.56
    +#+#
    0.55
    Tib
    0.54
     Ladakh
    0.51
    Activations Density 0.149%

    No Known Activations