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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. 6-RES-JB
    11. 18393
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    Explanations

    phrases related to the middle of something, such as "mid-air," "mid-week," or "mid-town."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "mid-" prefixes or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zona
    -0.77
    ingen
    -0.65
     lawy
    -0.63
     Starr
    -0.60
     Folder
    -0.60
    ynthesis
    -0.59
     ants
    -0.59
    PLA
    -0.59
     Roses
    -0.59
    itsch
    -0.59
    POSITIVE LOGITS
    endment
    0.73
    reet
    0.69
    imester
    0.66
     snack
    0.65
    Angelo
    0.65
     showdown
    0.63
    ãĥĵ
    0.62
    hesis
    0.61
    ftime
    0.59
     departures
    0.59
    Activations Density 0.057%

    No Known Activations