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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. 11-RES-JB
    11. 5513
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    Explanations

    specific items or entities, potentially related to various topics like city names, book titles, or legal terms

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to specific locations, publications, and copyright matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hal
    -0.75
    illac
    -0.69
    hatt
    -0.68
    ãĥķãĤ©
    -0.66
    ï¸ı
    -0.66
    ãĥŁ
    -0.65
    hab
    -0.63
    imilar
    -0.61
    ãĥ´ãĤ¡
    -0.58
    anmar
    -0.58
    POSITIVE LOGITS
     by
    1.93
    by
    1.78
     BY
    1.55
    By
    1.54
     By
    1.51
    BY
    1.33
    bys
    1.30
     via
    0.90
    ById
    0.85
    byn
    0.82
    Activations Density 0.179%

    No Known Activations