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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 11001
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    Explanations

    references to snack and fast food items, particularly those high in sugar and fat

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الحره
    -0.53
     Cowley
    -0.49
     motore
    -0.48
     Deane
    -0.47
     ilg
    -0.47
     Dil
    -0.44
     Kearns
    -0.42
     Lindgren
    -0.42
    EMI
    -0.41
    ropia
    -0.41
    POSITIVE LOGITS
     snack
    1.40
     snacks
    1.35
     Snack
    1.29
     popcorn
    1.23
     chips
    1.21
    Snack
    1.19
     Snacks
    1.16
     Chips
    1.16
     fries
    1.15
    Snacks
    1.13
    Activations Density 0.134%

    No Known Activations