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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. 1601
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    Explanations

    references to the process of cutting items into smaller pieces or fragments

    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
    таратура
    -0.54
     ModelExpression
    -0.48
    ArrowToggle
    -0.47
    AutoScaleMode
    -0.45
    LookAnd
    -0.43
    setViewName
    -0.40
     surla
    -0.39
    strokeStyle
    -0.38
     Mathews
    -0.37
    PreferredItem
    -0.37
    POSITIVE LOGITS
     pieces
    3.08
     Pieces
    2.63
     piece
    2.56
     fragments
    2.34
    Pieces
    2.30
    pieces
    2.27
     Piece
    2.22
    piece
    2.05
     PIECE
    1.99
     pezzi
    1.98
    Activations Density 0.871%

    No Known Activations