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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. 2554
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    INDEX
    Explanations

    mentions or discussions of sequels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sequels in various contexts

    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
    ¬¼
    -0.72
    hoff
    -0.65
    Ĭ±
    -0.64
    uda
    -0.63
    ·
    -0.61
    urrency
    -0.61
     Athletics
    -0.60
    Cola
    -0.59
    romy
    -0.58
     traders
    -0.58
    POSITIVE LOGITS
     sequel
    1.03
     sequels
    1.02
    ngth
    0.91
     trilogy
    0.86
    arium
    0.79
     thereto
    0.77
    ogue
    0.76
     installments
    0.75
     installment
    0.75
    culosis
    0.75
    Activations Density 0.025%

    No Known Activations