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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9671
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    Explanations

    references to various types of beds and bedding elements

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

    "bed"

    np_acts-logits-general · gemini-2.0-flash

    bed

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neurial
    -0.54
     Sni
    -0.48
     Alonso
    -0.47
     rookie
    -0.45
     Thompson
    -0.45
     Williamson
    -0.44
     Hildebrand
    -0.44
    Alonso
    -0.44
     Theil
    -0.44
     AIC
    -0.44
    POSITIVE LOGITS
     bed
    2.33
    Bed
    2.05
     beds
    1.99
     Bed
    1.99
    bed
    1.88
     BED
    1.81
     Beds
    1.80
    Beds
    1.78
    beds
    1.74
    BED
    1.53
    Activations Density 0.081%

    No Known Activations