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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 8889
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    Explanations

    descriptors of fashion and clothing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⤹
    -0.46
    providedIn
    -0.45
     június
    -0.44
    夏休み
    -0.44
    Wrk
    -0.44
    June
    -0.44
    TypedDataSet
    -0.44
     June
    -0.44
     चीज़ों
    -0.44
    July
    -0.43
    POSITIVE LOGITS
     fleece
    1.06
     winter
    0.99
     warmth
    0.96
     warmest
    0.95
     cozy
    0.94
     warm
    0.94
     wool
    0.91
     Fleece
    0.91
     warming
    0.88
     woolen
    0.88
    Activations Density 0.278%

    No Known Activations