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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 16151
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    Explanations

    names of football clubs and player affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.63
    westen
    -0.43
    故
    -0.43
     Enkel
    -0.42
    :✨
    -0.42
    lielmo
    -0.41
    💼
    -0.41
     onCreateView
    -0.41
    ята
    -0.41
    AndEndTag
    -0.41
    POSITIVE LOGITS
     FC
    0.55
     coach
    0.43
     vs
    0.43
    FC
    0.43
    存于互联网档案馆
    0.42
     fc
    0.42
     CCC
    0.41
     talisman
    0.39
    bree
    0.39
    RTCK
    0.37
    Activations Density 0.170%

    No Known Activations