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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 12516
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    INDEX
    Explanations

    numeric expressions referring to a frequency or quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate frequency or repetition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wig
    -0.70
    ortium
    -0.68
    matic
    -0.63
    inery
    -0.62
    plant
    -0.61
    ANT
    -0.61
    aceutical
    -0.57
     Released
    -0.57
    agine
    -0.56
    iller
    -0.56
    POSITIVE LOGITS
     times
    3.83
    times
    2.56
     Times
    1.75
     occasions
    1.67
    Times
    1.67
     TIM
    1.53
     periods
    1.50
     time
    1.40
     days
    1.30
     nights
    1.20
    Activations Density 0.031%

    No Known Activations