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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 20394
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    INDEX
    Explanations

    numerical values that are qualitative approximations or estimates

    oai_token-act-pair · gpt-3.5-turbo

    quantitative phrases indicating approximate measurements or estimates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.83
    ters
    -0.75
    oa
    -0.73
     Bomber
    -0.73
    iments
    -0.71
    tein
    -0.64
    uld
    -0.64
    ysis
    -0.63
    ieu
    -0.62
     Cosponsors
    -0.62
    POSITIVE LOGITS
    Ĥİ
    0.90
    Ń·
    0.78
     approximate
    0.77
    PsyNetMessage
    0.75
     sizeof
    0.73
     analogous
    0.73
     compr
    0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.71
     ~
    0.70
    atility
    0.69
    Activations Density 0.006%

    No Known Activations