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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21250
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    INDEX
    Explanations

    dates and time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    dates and times mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifferent
    -0.71
    raq
    -0.66
    rive
    -0.65
    orget
    -0.62
    krit
    -0.62
     versatility
    -0.61
    urden
    -0.61
    gment
    -0.61
     flair
    -0.61
     emerge
    -0.60
    POSITIVE LOGITS
     anniversary
    1.16
     coinc
    1.00
     predecessor
    0.90
    date
    0.90
     timeframe
    0.88
    iversary
    0.87
     earliest
    0.85
     coincides
    0.85
     Anniversary
    0.83
     year
    0.83
    Activations Density 0.455%

    No Known Activations