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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8429
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    Explanations

    names of people and organizations associated with entrepreneurship and poverty alleviation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    proper nouns, particularly names of people and places.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whilst
    -0.46
    Whilst
    -0.41
     rze
    -0.40
     whilst
    -0.39
    laceae
    -0.37
     cierto
    -0.35
    msgs
    -0.35
    niosek
    -0.33
     Laub
    -0.33
     pi
    -0.33
    POSITIVE LOGITS
     Kenya
    1.06
     Kenyan
    1.03
     Nairobi
    1.00
    Kenya
    0.96
     Kenyans
    0.95
     Mombasa
    0.83
    Nairobi
    0.82
     Kenyatta
    0.82
    🇰
    0.68
     keny
    0.63
    Activations Density 0.081%

    No Known Activations