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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. 1-RES-JB
    11. 14495
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    Explanations

    references to Harvard University

    oai_token-act-pair · gpt-3.5-turbo

    references to Harvard University

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atoon
    -0.76
    odic
    -0.73
    slow
    -0.73
    oute
    -0.71
    alez
    -0.69
    afort
    -0.68
    Downloadha
    -0.68
    debian
    -0.68
    ipper
    -0.68
    isner
    -0.67
    POSITIVE LOGITS
     Harvard
    1.10
     Crimson
    0.99
     Yard
    0.97
     University
    0.96
    uates
    0.89
     Kennedy
    0.82
     Institution
    0.81
     undergrad
    0.80
     classmate
    0.80
     MBA
    0.79
    Activations Density 0.006%

    No Known Activations