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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. 15865
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    Explanations

    names or terms related to "Masa" or "Masai"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or term, likely related to a notable individual or character

    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
    ï¸ı
    -0.74
    ski
    -0.71
     BMC
    -0.69
    ship
    -0.68
    sburgh
    -0.67
     Ames
    -0.66
    orer
    -0.66
    ACTED
    -0.66
     Corinthians
    -0.64
    OUGH
    -0.62
    POSITIVE LOGITS
    querade
    1.26
    dar
    1.12
    quer
    1.04
    cul
    1.03
    ques
    1.02
    sey
    0.94
    ala
    0.90
    qu
    0.90
    seys
    0.88
    que
    0.87
    Activations Density 0.018%

    No Known Activations