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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12348
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    Explanations

    specific types of seafood and related dishes in culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     >=",
    -0.94
     autorytatywna
    -0.82
     pinulongan
    -0.78
     surla
    -0.74
    oa̍t
    -0.73
     nakalista
    -0.70
    #+#
    -0.68
    ⓧ
    -0.66
     CreateTagHelper
    -0.66
    Autoritní
    -0.66
    POSITIVE LOGITS
     mussels
    0.57
     quæ
    0.48
     mijne
    0.45
    InputTagHelper
    0.44
     aquaculture
    0.44
     enga
    0.43
    álisis
    0.43
     UF
    0.43
    nagem
    0.43
    が含ま
    0.43
    Activations Density 0.159%

    No Known Activations