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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. 8-RES-JB
    6. 16242
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    INDEX
    Explanations

    dates and events mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     suspic
    -0.61
    DragonMagazine
    -0.59
    ratulations
    -0.56
    isode
    -0.56
     unbeliev
    -0.55
    usually
    -0.52
    bett
    -0.52
    nesty
    -0.51
    typically
    -0.51
    essing
    -0.51
    POSITIVE LOGITS
     Leilan
    0.63
     Provincial
    0.61
     Marketable
    0.57
     Galile
    0.56
     pandemonium
    0.54
    REDACTED
    0.51
     understatement
    0.51
    ymes
    0.50
     discord
    0.50
     Spac
    0.50
    Activations Density 1.725%

    No Known Activations