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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. 18372
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    INDEX
    Explanations

    questions starting with "What is" or "What are"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "What is" in various contexts

    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
    itches
    -0.72
    lems
    -0.71
    hyde
    -0.69
    heres
    -0.68
    tails
    -0.66
    hedon
    -0.65
    llah
    -0.65
    ience
    -0.62
     lash
    -0.62
    gra
    -0.60
    POSITIVE LOGITS
    omorphic
    0.88
    nt
    0.78
     supposed
    0.76
     happening
    0.75
     actually
    0.74
    ãĤ»
    0.73
     meant
    0.72
    ?]
    0.71
    Ĥª
    0.69
    actually
    0.68
    Activations Density 0.084%

    No Known Activations