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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. 2-RES-JB
    6. 23104
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    Explanations

    references to the University of Notre Dame

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Dame" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stakes
    -0.73
    packs
    -0.67
    oids
    -0.65
    ulated
    -0.65
    served
    -0.65
    oid
    -0.64
    ulators
    -0.64
    olds
    -0.63
    ulating
    -0.62
    Gaza
    -0.62
    POSITIVE LOGITS
     Dame
    1.45
     Lauder
    0.90
     Bride
    0.85
     Jeanne
    0.79
    IDA
    0.78
     ................
    0.78
     Hath
    0.75
    nces
    0.75
    idia
    0.75
    ford
    0.74
    Activations Density 0.005%

    No Known Activations