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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 125759
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    Explanations

    specific product names and attributes related to items being sold, particularly in categories like clothing and home goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Volkswagen Scirocco

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    AddTagHelper
    -0.53
     GenerationType
    -0.47
    脚注の使い方
    -0.45
     <<<<<<<<<<<<<<
    -0.44
     estekak
    -0.44
     Waray
    -0.44
     invokingState
    -0.44
     referenties
    -0.43
     Numerade
    -0.43
     pinulongan
    -0.41
    POSITIVE LOGITS
    Rohy
    0.50
    ✨:
    0.45
    polation
    0.40
     parseFrom
    0.37
    TagMode
    0.37
    alagi
    0.37
     racc
    0.36
    Hentet
    0.35
    principalTable
    0.35
    ACHUSET
    0.35
    Activations Density 0.008%

    No Known Activations