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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. 17578
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    Explanations

    words related to taking risks or making significant choices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to making choices and taking risks

    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
    Not in Any Lists

    No Comments

    Negative Logits
    force
    -0.74
    GW
    -0.73
    winner
    -0.72
    è¦ļéĨĴ
    -0.68
    gon
    -0.68
    raq
    -0.68
    iation
    -0.66
    BILL
    -0.65
    dy
    -0.63
    akh
    -0.63
    POSITIVE LOGITS
     abandonment
    0.74
     IPM
    0.73
     captivity
    0.73
     relinqu
    0.73
     Braun
    0.72
     shortcuts
    0.71
     virginity
    0.70
     hiber
    0.68
     discretion
    0.68
     anonymity
    0.66
    Activations Density 0.124%

    No Known Activations