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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. 7-RES-JB
    11. 7466
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    Explanations

    prolonged sequences of words beginning with "Mr." and ending with a person's name

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mr." followed by a surname

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.82
    wcs
    -0.82
     unden
    -0.81
    obyl
    -0.77
     exting
    -0.76
    rawdownloadcloneembedreportprint
    -0.74
     enthusi
    -0.73
     compr
    -0.71
     eleph
    -0.71
    ussion
    -0.69
    POSITIVE LOGITS
     Obama
    0.84
     Olympia
    0.82
     Gandhi
    0.81
     Hyde
    0.79
     Modi
    0.79
     Trump
    0.79
     Claus
    0.79
     Hill
    0.78
     Ack
    0.78
     Hussein
    0.78
    Activations Density 0.029%

    No Known Activations