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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 7216
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    Explanations

    references to various types of chairs and their comfort features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlAccessType
    -0.52
    PerformLayout
    -0.51
    KeyStore
    -0.47
    .$.
    -0.47
     सत्यापित
    -0.47
    ylabel
    -0.47
    AddTagHelper
    -0.46
    Referències
    -0.45
     oeil
    -0.45
     COOK
    -0.45
    POSITIVE LOGITS
     seats
    1.32
     chairs
    1.25
     chair
    1.20
     Seats
    1.20
     seat
    1.19
     seating
    1.15
    Seats
    1.12
    seats
    1.10
     Seat
    1.10
    Seat
    1.07
    Activations Density 0.130%

    No Known Activations