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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. 9-RES-JB
    11. 4954
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    Explanations

    sentences related to progress or development

    oai_token-act-pair · gpt-3.5-turbo

    elements related to video production and editing

    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
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    Negative Logits
    iership
    -0.70
     valued
    -0.68
    products
    -0.66
    uania
    -0.64
    thood
    -0.64
    iji
    -0.63
     founding
    -0.63
    ão
    -0.62
    "},"
    -0.60
     workforce
    -0.60
    POSITIVE LOGITS
    OIL
    1.02
    acly
    0.94
     suspense
    0.92
     filler
    0.81
    ensibly
    0.80
     chronological
    0.77
     spoiler
    0.76
     viewer
    0.75
     airing
    0.74
    ebin
    0.73
    Activations Density 0.693%

    No Known Activations