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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. 4512
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    INDEX
    Explanations

    words related to essential or core aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "essence."

    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
    airs
    -0.73
    orders
    -0.70
     mouths
    -0.69
    riages
    -0.68
     Chim
    -0.68
    vernment
    -0.66
     chairs
    -0.64
     Nights
    -0.63
    few
    -0.62
     sidewalks
    -0.62
    POSITIVE LOGITS
     essence
    1.03
    uality
    0.86
    atsu
    0.84
    ELF
    0.77
    IME
    0.75
    uary
    0.73
    ful
    0.72
    ItemTracker
    0.69
    estro
    0.68
    iary
    0.68
    Activations Density 0.013%

    No Known Activations