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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. 3-RES-JB
    11. 20769
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    Explanations

    names or terms related to specific individuals or entities, potentially with a focus on the name "Pearson."

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the surname "Pearson" or related names in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.71
    ãĥĩãĤ£
    -0.69
    ittee
    -0.65
    udeb
    -0.64
    pmwiki
    -0.63
    ktop
    -0.62
     Asheville
    -0.61
    ADA
    -0.61
     Omaha
    -0.61
    eanor
    -0.61
    POSITIVE LOGITS
     Pearson
    0.82
    ls
    0.81
     Nieto
    0.78
    ly
    0.78
    lyn
    0.77
    xus
    0.76
    ston
    0.75
    lia
    0.75
    hend
    0.74
    cel
    0.73
    Activations Density 0.008%

    No Known Activations