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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. 1842
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    Explanations

    references to significant events or superlatives in history

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or significant occurrences

    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
    ensibly
    -0.73
    flix
    -0.60
    Module
    -0.59
     Karn
    -0.57
    vae
    -0.57
    inge
    -0.56
    Tang
    -0.56
    aton
    -0.56
    iman
    -0.56
    oteric
    -0.56
    POSITIVE LOGITS
    *.
    0.71
     involving
    0.68
     thanks
    0.67
    ankind
    0.67
    making
    0.64
    arily
    0.64
     dating
    0.64
     occurring
    0.63
     spanning
    0.63
     benefiting
    0.62
    Activations Density 0.099%

    No Known Activations