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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 5860
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    Explanations

    references to meals, specifically lunch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pertenecen
    -0.40
    формление
    -0.39
     circonstances
    -0.39
     belong
    -0.37
    astéro
    -0.36
     appartiennent
    -0.35
    aspect
    -0.35
     belonged
    -0.34
     pertenece
    -0.34
     powin
    -0.34
    POSITIVE LOGITS
     lunch
    1.48
     Lunch
    1.37
    Lunch
    1.30
    lunch
    1.26
     LUNCH
    1.15
     lunches
    1.08
     luncheon
    1.00
     lunchtime
    1.00
    午餐
    0.96
     Luncheon
    0.92
    Activations Density 0.067%

    No Known Activations