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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. 6-RES-JB
    6. 11348
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    Explanations

    terms related to intensive care or tasks requiring intense effort

    oai_token-act-pair · gpt-3.5-turbo

    references to intensive activities or care in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Passage
    -0.74
    ulet
    -0.66
     Hole
    -0.66
    allows
    -0.66
    omsky
    -0.64
    warm
    -0.64
     Quinn
    -0.61
    DonaldTrump
    -0.60
    isphere
    -0.60
    opp
    -0.60
    POSITIVE LOGITS
    ly
    1.09
     intensive
    1.00
    mble
    1.00
    intensive
    0.95
     outpatient
    0.79
    urally
    0.78
    icult
    0.75
    bred
    0.74
    LY
    0.73
    entimes
    0.73
    Activations Density 0.031%

    No Known Activations