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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. 10-RES-JB
    11. 12487
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    Explanations

    medical terms and conditions, specifically related to psychology, diseases, and bodily functions

    oai_token-act-pair · gpt-3.5-turbo

    specific medical conditions and their contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    îĢ
    -0.74
    DragonMagazine
    -0.69
    ::::::::
    -0.67
    âĢ
    -0.65
    ####
    -0.64
    £
    -0.62
     âĢ
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    ++++++++++++++++
    -0.61
     ãĤµ
    -0.61
    POSITIVE LOGITS
    .).
    0.80
     respectively
    0.73
    .
    0.69
    .[
    0.69
    .]
    0.69
    !.
    0.68
    .)
    0.66
    ).
    0.63
    ].
    0.62
    +.
    0.56
    Activations Density 1.310%

    No Known Activations