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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. 9022
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    Explanations

    references to raw materials and their qualities in manufacturing processes

    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
    OGND
    -0.60
    AndEndTag
    -0.59
    Билгалдахарш
    -0.40
     Taktlose
    -0.40
    cember
    -0.40
    EditorBrowsable
    -0.38
    مقاله
    -0.38
    zyż
    -0.36
    Искәрмәләр
    -0.36
    tênis
    -0.36
    POSITIVE LOGITS
     material
    3.16
     materials
    3.03
    material
    2.67
     Material
    2.63
    materials
    2.58
     Materials
    2.56
     materiales
    2.56
    Material
    2.56
     MATERIAL
    2.47
    Materials
    2.45
    Activations Density 0.702%

    No Known Activations