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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. 4-RES-JB
    11. 6435
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    Explanations

    references to storytelling elements, particularly the overarching structure and themes known as a "narrative"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "narrative."

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

    No Comments

    Negative Logits
    unte
    -0.91
    ateurs
    -0.87
    ertodd
    -0.85
    achev
    -0.84
    sterdam
    -0.80
    ractive
    -0.78
    upiter
    -0.76
    gans
    -0.76
    ldon
    -0.76
    rador
    -0.76
    POSITIVE LOGITS
     narratives
    0.95
     arcs
    0.87
     narrative
    0.79
     Narr
    0.76
    ãĥ¼ãĥĨ
    0.73
    Narr
    0.72
    naire
    0.72
     Prompt
    0.71
     disson
    0.69
     storylines
    0.69
    Activations Density 0.017%

    No Known Activations