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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. 13415
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    Explanations

    statistics or quantities of events happening annually

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences and statistics that happen annually

    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
    anooga
    -0.73
    ymes
    -0.69
    anamo
    -0.69
    urrection
    -0.67
    gotten
    -0.66
    ells
    -0.66
    aleb
    -0.65
    ect
    -0.65
    reprene
    -0.65
    merce
    -0.64
    POSITIVE LOGITS
     thereafter
    0.93
     ago
    0.81
    long
    0.81
    lins
    0.74
     Iw
    0.71
     basis
    0.70
    lot
    0.69
    summary
    0.68
     Ago
    0.68
     Cox
    0.67
    Activations Density 0.035%

    No Known Activations