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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. 14836
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    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
    脚注の使い方
    -0.45
     برانيه
    -0.41
    FieldOffsetTable
    -0.36
    FieldName
    -0.33
     beads
    -0.31
    ştir
    -0.30
    PMailer
    -0.30
    hbar
    -0.30
    propertyName
    -0.30
     zewnętrzne
    -0.29
    POSITIVE LOGITS
     types
    1.41
     Types
    1.26
    types
    1.20
     tipos
    1.16
     Typen
    1.16
    Types
    1.13
     TYPES
    1.09
     type
    1.09
    类型
    1.06
    TYPES
    1.02
    Activations Density 0.694%

    No Known Activations