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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. 11-RES-JB
    6. 23606
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    INDEX
    Explanations

    instances of specific events or situations, particularly when they are negatively noteworthy

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate notable events or mentions within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orth
    -0.67
    alted
    -0.64
    uitive
    -0.64
    vantage
    -0.63
    INTON
    -0.62
    complex
    -0.62
    iverse
    -0.60
    nex
    -0.60
    Materials
    -0.60
    sonian
    -0.60
    POSITIVE LOGITS
     when
    1.02
    when
    0.96
     mentioning
    0.83
     during
    0.82
     witnessing
    0.82
    during
    0.80
     dismissing
    0.79
     announcing
    0.78
     recalling
    0.78
     visits
    0.77
    Activations Density 0.273%

    No Known Activations