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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. 14926
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    Explanations

    various instances and contexts of the term "poor," particularly in relation to quality and conditions

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

    the word "poor" and related negative quality descriptors.

    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
     <<<<<<<<<<<<<<
    -0.50
    +:+
    -0.46
    principalColumn
    -0.40
     unggul
    -0.40
     voordelen
    -0.39
     fullt
    -0.38
     utafitiHapana
    -0.38
    oneofs
    -0.38
    出版年
    -0.38
    Referanser
    -0.37
    POSITIVE LOGITS
     workmanship
    0.98
     performance
    0.98
     quality
    0.93
     accuracy
    0.92
     handling
    0.89
     hygiene
    0.82
     reliability
    0.81
     readability
    0.79
     качество
    0.78
     craftsmanship
    0.78
    Activations Density 0.795%

    No Known Activations