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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 71016
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    Explanations

    names of people, particularly in a specific context

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

    people's names with honorifics

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    ])/
    -0.38
     semula
    -0.36
    Referințe
    -0.33
    ctically
    -0.33
    }}_{
    -0.32
     popolari
    -0.32
     rū
    -0.31
    neſs
    -0.31
     turysty
    -0.31
     schönsten
    -0.31
    POSITIVE LOGITS
     Esq
    0.70
     sensei
    0.64
     Mr
    0.63
     professor
    0.63
     instructor
    0.60
    先生
    0.59
    さん
    0.58
     teacher
    0.57
     manager
    0.57
     doctor
    0.57
    Activations Density 0.016%

    No Known Activations