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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. 9-RES-JB
    11. 7564
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    Explanations

    photographers

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "by" in the context of citations or authorship

    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
    inous
    -0.71
    rient
    -0.67
    rients
    -0.65
     tolerated
    -0.65
    iosity
    -0.64
    iqueness
    -0.62
    iveness
    -0.61
    usting
    -0.61
     validity
    -0.61
    rums
    -0.59
    POSITIVE LOGITS
     Shutterstock
    1.02
     Pablo
    0.97
     Evan
    0.96
     Kathryn
    0.95
     REUTERS
    0.93
     Ezra
    0.93
     Flickr
    0.92
     Erik
    0.91
     Courtesy
    0.90
     Wikimedia
    0.87
    Activations Density 0.033%

    No Known Activations