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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 19433
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    Explanations

    phrases and terms related to disease or medical conditions, particularly those related to disinfecting or cleanliness

    oai_token-act-pair · gpt-3.5-turbo

    references to disinfecting products or related themes

    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
     majesty
    -0.69
     soaring
    -0.67
    ported
    -0.67
     skiing
    -0.66
     plum
    -0.65
    oine
    -0.65
     bob
    -0.65
     peg
    -0.64
     balloon
    -0.64
     pegged
    -0.64
    POSITIVE LOGITS
     Dis
    3.47
    Dis
    2.40
    dis
    1.87
     DIS
    1.73
     Diss
    1.52
     Disp
    1.48
     Dism
    1.45
     dis
    1.44
    DIS
    1.38
     Disapp
    1.33
    Activations Density 0.023%

    No Known Activations