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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 24135
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    INDEX
    Explanations

    mentions of 'mud'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -1.13
     Enix
    -0.85
    SuppressMessage
    -0.85
     GenerationType
    -0.83
    CodeAttribute
    -0.82
    attro
    -0.81
    SerializeField
    -0.77
    ▸
    -0.77
    fromCharCode
    -0.77
    LabelTagHelper
    -0.76
    POSITIVE LOGITS
     mud
    1.41
     Mud
    1.29
    mud
    1.15
    Mud
    1.13
     MUD
    1.10
     muddy
    0.91
    MUD
    0.85
     Muddy
    0.84
    泥
    0.76
     Mudd
    0.73
    Activations Density 0.011%

    No Known Activations