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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11315
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    Explanations

    references to mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JspWriter
    -0.63
     rzecz
    -0.57
    Brick
    -0.55
    errHandler
    -0.51
    قرير
    -0.51
     Brick
    -0.49
    ]")]
    -0.48
    仕
    -0.47
     Leuten
    -0.46
    əl
    -0.46
    POSITIVE LOGITS
     mountains
    0.89
     Mountains
    0.89
     mountain
    0.80
     forest
    0.79
    脚注の使い方
    0.75
    mountains
    0.72
     Forest
    0.72
    +#+#
    0.70
    mountain
    0.68
     minerals
    0.67
    Activations Density 0.361%

    No Known Activations