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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 131k
    9. 24-GEMMASCOPE-RES-131K
    11. 165
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    INDEX
    Explanations

    instances of the words "rug," "jug," and "mug," as well as related descriptors

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

    rug, jug, mug, grinned

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.59
     ACI
    -0.58
    SPS
    -0.58
    PCI
    -0.57
    TSA
    -0.56
    oris
    -0.56
    BOURNE
    -0.55
    relativeTime
    -0.55
    SCI
    -0.55
    Steffen
    -0.55
    POSITIVE LOGITS
    Jug
    0.69
     Jug
    0.68
    ug
    0.55
    Mug
    0.51
     jug
    0.51
    Rug
    0.51
     Mug
    0.50
     Rug
    0.50
    mug
    0.49
     Wad
    0.48
    Activations Density 0.022%

    No Known Activations