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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. 6-RES-JB
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names, particularly "Omar," "Diaz," and "Buck."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utions
    -0.78
    esses
    -0.72
    TOP
    -0.71
     deductions
    -0.66
    HF
    -0.65
    adow
    -0.64
    TY
    -0.63
    ãĢIJ
    -0.62
    tty
    -0.62
    esley
    -0.61
    POSITIVE LOGITS
     Diaz
    0.76
     spar
    0.73
    rain
    0.73
    ioxide
    0.72
     McGregor
    0.71
    reth
    0.69
    uppet
    0.69
    owler
    0.67
    ikuman
    0.65
     Osw
    0.65
    Activations Density 0.056%

    No Known Activations