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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. 2038
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    INDEX
    Explanations

    words related to instructional or informative content, particularly with a "How to" focus

    oai_token-act-pair · gpt-3.5-turbo

    questions or instructions related to "how to" perform various tasks

    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
    furt
    -0.74
    ij士
    -0.73
    ching
    -0.73
    calling
    -0.71
     Coff
    -0.69
    warning
    -0.69
     Nightmares
    -0.68
    leased
    -0.66
     Rousse
    -0.66
     Appears
    -0.65
    POSITIVE LOGITS
     handle
    1.14
     navigate
    1.13
     proceed
    1.11
     pronounce
    1.10
     maximize
    1.05
     properly
    1.03
     behave
    1.03
     mitigate
    1.03
     cope
    1.03
     incorporate
    1.02
    Activations Density 0.062%

    No Known Activations