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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. 15773
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    Explanations

    sports events where a team wins

    oai_token-act-pair · gpt-3.5-turbo

    instances of sports team victories

    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
    UX
    -0.77
    uum
    -0.77
    illary
    -0.76
    redits
    -0.73
    OCK
    -0.72
    igmat
    -0.70
    onge
    -0.68
    olutions
    -0.66
    INESS
    -0.65
    assian
    -0.65
    POSITIVE LOGITS
    hang
    0.80
    clock
    0.75
    lord
    0.75
    rolet
    0.72
    hung
    0.70
     him
    0.69
     fellow
    0.66
    rist
    0.66
    whelming
    0.64
     Tara
    0.63
    Activations Density 0.019%

    No Known Activations