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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. 9-RES-JB
    6. 21553
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    INDEX
    Explanations

    the word "mean" or its variations in the context of implying a consequence or interpretation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causality or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    @#&
    -0.82
    atech
    -0.78
    thumbnails
    -0.78
    oqu
    -0.76
    uded
    -0.72
    itations
    -0.70
    iazep
    -0.70
    phrine
    -0.69
    taboola
    -0.68
    iar
    -0.68
    POSITIVE LOGITS
     goodbye
    1.12
     sacrificing
    0.94
     nothing
    0.91
     abandoning
    0.86
     something
    0.81
     risking
    0.81
     fewer
    0.78
     avoiding
    0.77
     anything
    0.74
     that
    0.71
    Activations Density 0.045%

    No Known Activations