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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1368
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    Explanations

    references to eating and drinking behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 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
    bbene
    -0.74
    uttosto
    -0.69
     Deum
    -0.68
     désol
    -0.67
     giudi
    -0.66
     Processors
    -0.65
     vettore
    -0.64
    muerzo
    -0.63
     auroit
    -0.62
     illustrazione
    -0.62
    POSITIVE LOGITS
     drinking
    1.46
     eating
    1.44
     Drinking
    1.24
     Eating
    1.18
     riding
    1.15
     shooting
    1.14
    eating
    1.13
     sleeping
    1.11
    drinking
    1.10
     cooking
    1.09
    Activations Density 0.219%

    No Known Activations