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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. 6-RES-JB
    11. 9672
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    Explanations

    urls

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of URLs

    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
     Suc
    -0.71
    ertodd
    -0.71
    EY
    -0.70
     Luther
    -0.65
     Noir
    -0.65
    SPONSORED
    -0.64
    Guest
    -0.64
    ZA
    -0.63
     Sou
    -0.63
     Watt
    -0.62
    POSITIVE LOGITS
    itzer
    1.08
    itudinal
    1.03
    ough
    0.89
    itional
    0.89
    itude
    0.89
    gements
    0.85
    aston
    0.84
    ding
    0.83
    falls
    0.82
    uci
    0.79
    Activations Density 0.022%

    No Known Activations