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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. 6-RES-JB
    6. 1565
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    INDEX
    Explanations

    phrases related to computer codes or formatting artifacts that are typically used for editing text

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and statistics related to various subjects

    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
     reneg
    -0.77
     frontline
    -0.76
     star
    -0.75
     spear
    -0.73
     brid
    -0.73
     covenant
    -0.72
     consulate
    -0.72
     revers
    -0.71
     doub
    -0.71
     honoured
    -0.69
    POSITIVE LOGITS
    --------------------------------------------------------
    1.64
    Advertisements
    1.53
    ________________________________________________________________
    1.34
    Conclusion
    1.32
    ________________________________
    1.32
    ----------------------------------------------------------------
    1.30
    --------------------
    1.27
    ------------------------------------------------
    1.26
    --------------------------------
    1.25
    -----------
    1.25
    Activations Density 0.239%

    No Known Activations