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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 10766
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    keywords related to hotels and their locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pstmt
    -0.39
    ={({
    -0.39
    setHorizontal
    -0.38
     objectAtIndex
    -0.38
     consig
    -0.36
     antennas
    -0.35
     startIndex
    -0.35
     CreateTagHelper
    -0.34
     getItemCount
    -0.34
     antenna
    -0.34
    POSITIVE LOGITS
    بوابة
    0.68
    UnusedPrivate
    0.59
     hotel
    0.58
    Hotel
    0.58
     Hotel
    0.57
    github
    0.57
     Plot
    0.57
     hotell
    0.57
    scheme
    0.56
     ब्रेकडाउन
    0.55
    Activations Density 0.150%

    No Known Activations