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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. 3949
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    INDEX
    Explanations

    interjections and exclamations

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or references of significant impact or consequence

    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
    mbuds
    -0.62
    commun
    -0.62
    minist
    -0.61
    tones
    -0.60
    altern
    -0.59
    maxwell
    -0.59
    isons
    -0.59
    ussian
    -0.57
    nor
    -0.57
    binary
    -0.56
    POSITIVE LOGITS
    ³³³
    0.70
    é¾
    0.66
    Shape
    0.66
     Emanuel
    0.66
    ³³³³³³³³³³³³³³³³
    0.65
    PHOTOS
    0.65
    Scroll
    0.64
    ³³³³
    0.60
    cade
    0.60
     Kaufman
    0.59
    Activations Density 0.489%

    No Known Activations