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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. 6-RES-JB
    6. 22627
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    INDEX
    Explanations

    characters with a specific Unicode representation

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional or impactful experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.69
     grouping
    -0.63
     hashing
    -0.62
    xual
    -0.61
     scrambling
    -0.60
     dangling
    -0.59
    restling
    -0.59
     restored
    -0.58
     iod
    -0.58
     footing
    -0.58
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    1.05
    ³³³³
    1.03
    Posted
    1.00
    Reviewed
    0.99
    STER
    0.89
    âĻ
    0.89
    Author
    0.88
    Synopsis
    0.88
    ³³³
    0.87
    ³³
    0.86
    Activations Density 0.166%

    No Known Activations