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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
    11. 1874
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    Explanations

    phrases starting with "What about"

    oai_token-act-pair · gpt-3.5-turbo

    questions that begin with "What about."

    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
    ¯¯¯¯¯¯¯¯
    -0.66
    pain
    -0.66
    oir
    -0.63
     corrid
    -0.63
     craw
    -0.63
    obi
    -0.62
    icol
    -0.60
    xxxxxxxx
    -0.60
    $,
    -0.60
    cycle
    -0.60
    POSITIVE LOGITS
    backs
    0.70
    EStream
    0.68
    EVA
    0.68
    hedral
    0.67
    yip
    0.63
    PsyNetMessage
    0.63
     Mechdragon
    0.63
     Disability
    0.63
     2100
    0.61
    lihood
    0.61
    Activations Density 0.026%

    No Known Activations