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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. 11471
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    Explanations

    items or places related to various categories such as food, medicine, emotions, computer science, and more

    oai_token-act-pair · gpt-3.5-turbo

    references to types of establishments or infrastructures related to urban environments

    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
    ¬¼
    -0.68
    ":"/
    -0.66
    conom
    -0.64
    gres
    -0.63
    Ĥª
    -0.59
    ortmund
    -0.58
    abouts
    -0.58
    ï¸
    -0.58
    conservancy
    -0.57
    ajor
    -0.57
    POSITIVE LOGITS
     etc
    1.91
    etc
    1.48
     ect
    0.92
     respectively
    0.92
    whatever
    0.86
    âĢ¦)
    0.77
     alas
    0.73
     blah
    0.71
    while
    0.67
    ...)
    0.67
    Activations Density 0.419%

    No Known Activations