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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3100
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    Explanations

    specific actions related to cutting and preparing food items

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

    Dividing something into pieces or sections

    np_acts-logits-general · gemini-2.0-flash

    cutting into pieces

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     élections
    -0.64
    WarningLevel
    -0.60
     htons
    -0.57
     téléphonique
    -0.56
     disambiguazione
    -0.55
    AutoScale
    -0.54
    kháu
    -0.53
    lapsingToolbar
    -0.53
    mergeFrom
    -0.53
    ]^{\
    -0.53
    POSITIVE LOGITS
     pieces
    2.18
     piece
    1.85
     Pieces
    1.78
    pieces
    1.75
     chunks
    1.68
    Pieces
    1.63
     Piece
    1.59
     PIECE
    1.59
    piece
    1.55
     fragments
    1.55
    Activations Density 0.656%

    No Known Activations