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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. 1-RES-JB
    6. 12737
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    INDEX
    Explanations

    words related to storytelling and coherent plotlines

    oai_token-act-pair · gpt-3.5-turbo

    references to narratives

    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
    upiter
    -0.83
    unte
    -0.81
    rador
    -0.77
    gans
    -0.77
    ateurs
    -0.75
    ugs
    -0.74
    inking
    -0.72
    thening
    -0.72
    ribute
    -0.71
    achev
    -0.70
    POSITIVE LOGITS
     narratives
    1.22
     narrative
    1.09
     Narr
    0.94
    Narr
    0.93
    ufact
    0.85
     arcs
    0.82
     storylines
    0.80
     unfolds
    0.76
    escription
    0.75
     è£ıè
    0.74
    Activations Density 0.010%

    No Known Activations