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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. 9090
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    INDEX
    Explanations

    instances of demonstrations or protests

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "demonstration" and its variations in the text

    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
    paste
    -0.72
    ecd
    -0.70
     saline
    -0.67
    oho
    -0.66
    efe
    -0.66
    pex
    -0.65
    seed
    -0.64
    otto
    -0.63
    onen
    -0.62
    bid
    -0.62
    POSITIVE LOGITS
     demonstration
    0.83
     GOODMAN
    0.82
    antes
    0.78
     demonstrations
    0.77
     demonstrators
    0.76
    ary
    0.75
    emonium
    0.73
    stration
    0.73
    itzer
    0.69
    anooga
    0.69
    Activations Density 0.031%

    No Known Activations