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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. 7-RES-JB
    6. 2404
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    board
    -0.87
    boards
    -0.81
    ynthesis
    -0.75
    ennett
    -0.69
    ym
    -0.68
    izoph
    -0.66
    mith
    -0.66
    inx
    -0.64
     Trance
    -0.64
    lap
    -0.63
    POSITIVE LOGITS
    eers
    0.91
    atical
    0.86
    atile
    0.79
    arily
    0.79
     cornerstone
    0.76
    atics
    0.72
    ational
    0.72
    rats
    0.72
     owner
    0.70
    operated
    0.69
    Activations Density 0.034%

    No Known Activations