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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. 4-RES-JB
    11. 2370
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly first names or surnames

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

    No Comments

    Negative Logits
    CAST
    -0.71
    ASED
    -0.69
    *=-
    -0.69
    taboola
    -0.66
    INC
    -0.66
    ascript
    -0.64
    PDATE
    -0.63
     Reincarn
    -0.63
     NETWORK
    -0.63
    Wikipedia
    -0.62
    POSITIVE LOGITS
     Boh
    0.78
    acht
    0.73
    ovich
    0.73
    rome
    0.72
     Gry
    0.72
    owski
    0.71
    gaard
    0.71
     Kor
    0.71
     Wer
    0.70
     Piet
    0.69
    Activations Density 0.306%

    No Known Activations