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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. 9-RES-JB
    6. 7336
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    Explanations

    locations or places where certain activities or events occur

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and living arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illian
    -0.63
     Contra
    -0.62
     Malone
    -0.60
    isman
    -0.57
    Ĥİ
    -0.57
     Hacker
    -0.57
    etsy
    -0.56
    rought
    -0.56
    arted
    -0.56
    Ball
    -0.56
    POSITIVE LOGITS
     resides
    0.81
    ,.
    0.77
    ezvous
    0.76
     congreg
    0.73
     depends
    0.68
    /,
    0.67
    .—
    0.66
     reside
    0.66
    imum
    0.65
    .
    0.62
    Activations Density 0.294%

    No Known Activations