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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. 3-RES-JB
    11. 5941
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    Explanations

    names related to individuals, particularly focusing on the name "Spencer" and "Shelby"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people, particularly those named Spencer, Shelby, and Cecil

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    juven
    -0.77
    arist
    -0.69
    LOAD
    -0.65
     catast
    -0.62
    teen
    -0.61
    usterity
    -0.60
    avez
    -0.59
    meaning
    -0.58
     advers
    -0.58
    fortunately
    -0.57
    POSITIVE LOGITS
     Spencer
    0.94
     Tracy
    0.91
    ville
    0.77
     Gifts
    0.75
    cil
    0.74
    onite
    0.73
    olson
    0.73
     Pratt
    0.72
    otle
    0.71
    sburg
    0.71
    Activations Density 0.009%

    No Known Activations