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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    the number 49

    oai_token-act-pair · gpt-3.5-turbo

    references to the San Francisco 49ers football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.91
    mble
    -0.89
    odynam
    -0.81
    ovie
    -0.75
     periodic
    -0.72
    odynamic
    -0.71
    perty
    -0.70
    obic
    -0.70
    ugu
    -0.70
     peril
    -0.70
    POSITIVE LOGITS
    49
    0.97
    IELD
    0.96
    eteenth
    0.91
    Ãį
    0.89
    ¢
    0.89
    ::::::::
    0.85
     cents
    0.83
    jar
    0.82
    eteen
    0.82
    ield
    0.80
    Activations Density 0.018%

    No Known Activations