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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. 9-RES-JB
    6. 12184
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    INDEX
    Explanations

    names of individuals, possibly notable personalities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or initials related to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     envy
    -0.62
     Shiv
    -0.62
     shorthand
    -0.57
    SHIP
    -0.55
     Boxing
    -0.55
    vs
    -0.55
    pedia
    -0.54
     Murdoch
    -0.54
    ä»
    -0.51
     gigg
    -0.51
    POSITIVE LOGITS
    ologne
    0.70
    ĸļ
    0.69
    roma
    0.67
    eret
    0.67
    uren
    0.65
    tera
    0.62
    irable
    0.62
    isi
    0.62
    igne
    0.61
    escal
    0.61
    Activations Density 0.073%

    No Known Activations