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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
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    Explanations

    geographic locations, specifically the city of Norfolk

    oai_token-act-pair · gpt-3.5-turbo

    references to places and people, particularly focusing on "Norfolk" and "Fletcher."

    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
    ept
    -0.73
    ovie
    -0.71
    imus
    -0.69
    opot
    -0.69
    plan
    -0.68
    itional
    -0.67
    clusively
    -0.66
    ulative
    -0.66
    otropic
    -0.66
    itaire
    -0.66
    POSITIVE LOGITS
    letcher
    0.81
    aders
    0.77
    reet
    0.73
     Phant
    0.73
    ucky
    0.69
    EStream
    0.64
    licks
    0.64
     Mechdragon
    0.64
     Ago
    0.64
    ricting
    0.64
    Activations Density 0.036%

    No Known Activations