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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. 5-RES-JB
    6. 18158
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    Explanations

    names or terms related to high-ranking positions, possibly in a political or organizational context

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly associated with individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resil
    -0.92
    EStream
    -0.84
     darn
    -0.77
    glers
    -0.74
    cffff
    -0.74
     glim
    -0.73
     trough
    -0.72
     tremend
    -0.70
     mathemat
    -0.69
     obser
    -0.69
    POSITIVE LOGITS
    hyde
    0.95
    enko
    0.93
     Gomez
    0.87
    opsis
    0.82
     Gonzalez
    0.80
    aga
    0.77
    hea
    0.77
    quez
    0.76
     Banks
    0.75
    anne
    0.75
    Activations Density 0.278%

    No Known Activations