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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4452
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    Explanations

    mentions of wine and personal experiences related to it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pegat
    -0.54
    avice
    -0.47
     complaint
    -0.47
    phazard
    -0.46
    phalt
    -0.46
    AutoScaleMode
    -0.44
     Atomic
    -0.44
    haust
    -0.44
     Subway
    -0.44
    USET
    -0.43
    POSITIVE LOGITS
     wines
    0.74
     wine
    0.71
     Wine
    0.60
     Wines
    0.58
     vineyards
    0.55
     winery
    0.54
     vineyard
    0.53
    Wine
    0.51
    ワイン
    0.51
     bottling
    0.50
    Activations Density 0.046%

    No Known Activations