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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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    Explanations

    names of people as the main feature

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Raymond"

    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
    glers
    -1.23
    raltar
    -0.84
    berman
    -0.80
    aneers
    -0.75
    etsy
    -0.72
    AZ
    -0.71
    ª
    -0.71
    umat
    -0.68
    usa
    -0.67
    ij
    -0.66
    POSITIVE LOGITS
     Raymond
    1.03
     rall
    0.85
    issance
    0.78
    DragonMagazine
    0.74
    xual
    0.72
     Qiao
    0.68
     Browne
    0.68
    mond
    0.67
     Huss
    0.66
     Tick
    0.65
    Activations Density 0.017%

    No Known Activations