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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. 8218
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    INDEX
    Explanations

    words related to the action of speaking or pronouncing

    oai_token-act-pair · gpt-3.5-turbo

    references to oral arguments and discussions

    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
    vell
    -0.80
    etter
    -0.79
    IELD
    -0.73
     guiActiveUnfocused
    -0.72
    ICS
    -0.70
    ELF
    -0.69
    lower
    -0.69
    ukong
    -0.69
    ERAL
    -0.69
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.67
    POSITIVE LOGITS
     cavity
    1.09
     oral
    0.92
     contraceptive
    0.91
     contraceptives
    0.89
     ingestion
    0.88
     hygiene
    0.81
     muc
    0.79
     polio
    0.78
     examination
    0.77
     examinations
    0.74
    Activations Density 0.016%

    No Known Activations