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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 9148
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    Explanations

    issues related to laundry and washing machine performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     drawing
    -0.42
     disambiguazione
    -0.41
    akana
    -0.40
     вжи
    -0.40
     définiti
    -0.40
    ManyToOne
    -0.39
    krishnan
    -0.38
    âmara
    -0.38
     DRAWING
    -0.37
     Drawing
    -0.36
    POSITIVE LOGITS
     laundry
    1.12
     Laundry
    1.08
    Laundry
    1.00
    laundry
    0.93
     Washer
    0.83
     laund
    0.76
     washing
    0.73
     Washing
    0.73
     launder
    0.72
    Washing
    0.71
    Activations Density 0.300%

    No Known Activations