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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. 0-RES-JB
    11. 11760
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    Explanations

    text related to various forms of the word "ease" such as "increase" and "disease"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various medical 'case' scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Borders
    -0.68
     kitchens
    -0.64
     Walton
    -0.63
     tant
    -0.63
     hourly
    -0.61
     Official
    -0.60
    æĸ¹
    -0.60
     runs
    -0.59
     Labor
    -0.59
     Gotham
    -0.59
    POSITIVE LOGITS
    ase
    4.53
    ases
    3.05
    ased
    2.61
    asing
    2.39
    ASE
    2.37
    aser
    1.90
    asers
    1.67
    rase
    1.40
    aze
    1.38
    ASED
    1.32
    Activations Density 0.012%

    No Known Activations