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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23454
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    Explanations

    phrases involving the status or condition of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "people who are" indicating discussions about individuals or groups

    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
     Solution
    -0.72
    pedia
    -0.69
     Which
    -0.68
     Inventory
    -0.67
    ization
    -0.66
     Exit
    -0.64
    imation
    -0.63
    aneous
    -0.62
     cancellation
    -0.62
     Entry
    -0.62
    POSITIVE LOGITS
     accustomed
    0.85
     addicted
    0.84
    wolves
    0.84
     supposed
    0.83
     intimately
    0.81
     blinded
    0.79
     acquainted
    0.77
     interested
    0.77
     fluent
    0.77
    held
    0.75
    Activations Density 0.138%

    No Known Activations