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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. 2-RES-JB
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    terms related to collegiate sports teams, especially the Texas Longhorns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to collegiate sports and athletics

    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
    rosis
    -0.85
    romy
    -0.75
    ragon
    -0.69
    hod
    -0.69
    giene
    -0.68
     vagina
    -0.67
    wallet
    -0.64
     breathing
    -0.64
    target
    -0.63
    ertodd
    -0.63
    POSITIVE LOGITS
    arsity
    1.13
     athletics
    1.02
    umni
    1.01
    keyes
    0.91
     ILCS
    0.85
    mson
    0.81
    iate
    0.79
     Vaugh
    0.78
     athletic
    0.78
     Vanderbilt
    0.77
    Activations Density 0.018%

    No Known Activations