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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. 10-RES-JB
    6. 1967
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    INDEX
    Explanations

    numerical values with 'x' as a unit of measurement

    oai_token-act-pair · gpt-3.5-turbo

    references to magnification levels and resolutions in visual or imaging contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aval
    -0.73
    kson
    -0.71
     TODAY
    -0.69
     abiding
    -0.69
     Garry
    -0.67
    ogy
    -0.66
     strut
    -0.65
     Verge
    -0.64
    ogical
    -0.63
    sburgh
    -0.62
    POSITIVE LOGITS
    digit
    1.02
    3
    1.00
    2
    0.99
    4
    0.98
    LP
    0.96
    6
    0.94
    10
    0.93
    5
    0.92
    10000
    0.92
    100
    0.91
    Activations Density 0.017%

    No Known Activations