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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. 5-RES-JB
    6. 16248
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    INDEX
    Explanations

    phrases related to physical seams or stitching

    oai_token-act-pair · gpt-3.5-turbo

    references to seams and their significance in the context of construction or design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.85
    kson
    -0.84
    ngth
    -0.73
     Pad
    -0.73
    adobe
    -0.72
    opsis
    -0.69
    atoes
    -0.67
    yrim
    -0.67
    acular
    -0.67
    ertodd
    -0.66
    POSITIVE LOGITS
     seam
    0.80
    ties
    0.78
    pless
    0.77
    nance
    0.75
    wheel
    0.71
    bearing
    0.71
     lith
    0.70
    minist
    0.69
    lessness
    0.69
     fisherman
    0.67
    Activations Density 0.038%

    No Known Activations