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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. 5-RES-JB
    6. 14006
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    Explanations

    words related to various levels of impotence

    oai_token-act-pair · gpt-3.5-turbo

    words related to impotence and related conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Saras
    -0.78
    ayn
    -0.77
     Sussex
    -0.70
    SOURCE
    -0.67
    ãĤ´ãĥ³
    -0.67
    wick
    -0.67
    amber
    -0.65
    Ark
    -0.63
    byn
    -0.63
    Paris
    -0.61
    POSITIVE LOGITS
    vous
    0.75
    itely
    0.67
    eties
    0.65
    ishable
    0.63
    ishly
    0.62
    hesive
    0.62
    shed
    0.61
    ificant
    0.61
     perjury
    0.59
    reddit
    0.59
    Activations Density 0.077%

    No Known Activations