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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. 7-RES-JB
    6. 18559
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    INDEX
    Explanations

    technical phrases related to performance and specifications, particularly with numerical values

    oai_token-act-pair · gpt-3.5-turbo

    elements related to design and technical specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.78
    hement
    -0.76
    tsky
    -0.69
     Vaugh
    -0.68
    dn
    -0.68
     unlucky
    -0.67
    etta
    -0.66
    baugh
    -0.64
    wen
    -0.63
    elin
    -0.62
    POSITIVE LOGITS
    Marginal
    0.85
    ccording
    0.83
    ========
    0.79
    Overview
    0.78
    ============
    0.76
    Spoiler
    0.75
    ":["
    0.74
     Generally
    0.73
     Classification
    0.73
     Removal
    0.73
    Activations Density 0.143%

    No Known Activations