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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. 6590
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    Explanations

    positive descriptions or evaluations, particularly related to written works or products

    oai_token-act-pair · gpt-3.5-turbo

    positive evaluations or recommendations for books and stories

    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
    ogenesis
    -0.83
    foreseen
    -0.80
    gres
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    venants
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    undreds
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    ousands
    -0.74
    soDeliveryDate
    -0.74
    Phase
    -0.73
    zees
    -0.72
    iances
    -0.70
    POSITIVE LOGITS
     nonetheless
    0.95
     piece
    0.95
     reminder
    0.94
     specimen
    0.94
     overall
    0.93
     combination
    0.93
     example
    0.90
     addition
    0.89
     underrated
    0.89
     overview
    0.87
    Activations Density 0.323%

    No Known Activations