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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. 11227
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or brands, particularly "Kendall" and "Harley."

    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
    pmwiki
    -0.85
    odcast
    -0.76
    mble
    -0.75
     constitu
    -0.73
    ospital
    -0.71
    ptroller
    -0.69
    OOL
    -0.67
    ugu
    -0.67
    vana
    -0.67
    ItemTracker
    -0.66
    POSITIVE LOGITS
     Kendall
    1.32
     Jenner
    1.05
     Staples
    0.87
     Wast
    0.81
     Dillon
    0.80
    halla
    0.79
     Fuller
    0.77
     Mills
    0.75
     McMahon
    0.71
     Kor
    0.70
    Activations Density 0.008%

    No Known Activations