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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 537
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    Explanations

    various types of snacks and foods, particularly in the context of convenience and fast food options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fotografico
    -0.44
    addGap
    -0.40
     murni
    -0.40
    doir
    -0.37
     propriedade
    -0.36
     gøre
    -0.35
    nictwa
    -0.35
    addContainerGap
    -0.34
     lezen
    -0.34
     boek
    -0.34
    POSITIVE LOGITS
     محفوظة
    0.55
    astify
    0.53
    twimg
    0.53
    Subway
    0.49
    +#+#
    0.49
    unhofer
    0.49
    Carne
    0.48
     awake
    0.48
     Dunkin
    0.47
     takeaway
    0.47
    Activations Density 0.230%

    No Known Activations