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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the word "Harvard"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Harvard University

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.72
    oute
    -0.72
    phabet
    -0.71
    afort
    -0.69
    ichick
    -0.67
    ktop
    -0.67
    odic
    -0.66
    leased
    -0.65
     recip
    -0.65
    geoning
    -0.64
    POSITIVE LOGITS
     Yard
    1.07
     University
    1.04
    uates
    0.89
     Crimson
    0.88
     College
    0.85
    shire
    0.84
     graduates
    0.83
     Institution
    0.82
     Graduate
    0.81
     Medical
    0.80
    Activations Density 0.020%

    No Known Activations