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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
    11. 430
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    Explanations

    mentions of specific names or terms, potentially related to medical treatments or legal cases

    oai_token-act-pair · gpt-3.5-turbo

    words beginning with the letters "pim," "pus," or "Zy."

    oai_token-act-pair · gpt-4-turbo

    words related to health issues, particularly those concerning diseases and medical conditions

    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
     streng
    -0.82
     showc
    -0.76
     illum
    -0.72
    rador
    -0.72
     Rite
    -0.72
    ean
    -0.69
    hold
    -0.67
     align
    -0.67
     glances
    -0.67
    gew
    -0.66
    POSITIVE LOGITS
    xon
    0.79
     pus
    0.78
    prus
    0.76
    nesia
    0.73
    PER
    0.73
    ients
    0.69
    phony
    0.67
    Pain
    0.67
     Towns
    0.67
    ãĥ¥
    0.67
    Activations Density 0.023%

    No Known Activations