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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. 10699
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    INDEX
    Explanations

    numerical references to the year 2013

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the year 2013

    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
    flo
    -0.91
    itionally
    -0.73
    warts
    -0.66
    locked
    -0.65
    ifully
    -0.63
    ishing
    -0.62
    Commerce
    -0.62
    ierrez
    -0.62
    izers
    -0.61
    ongs
    -0.59
    POSITIVE LOGITS
    rd
    0.95
    å¹
    0.78
    etheus
    0.77
     onwards
    0.76
    bard
    0.76
    RD
    0.67
    -'
    0.67
     onward
    0.65
    ãĤº
    0.65
    adish
    0.63
    Activations Density 0.022%

    No Known Activations