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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. 7-RES-JB
    6. 12741
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.71
    /_
    -0.68
    ateral
    -0.65
    ::::::::
    -0.63
    naissance
    -0.60
     unpredict
    -0.58
    pection
    -0.57
    static
    -0.56
    functional
    -0.56
    iliate
    -0.56
    POSITIVE LOGITS
     Sr
    0.97
     Jr
    0.93
    ovich
    0.91
     III
    0.73
    iewicz
    0.70
    chuk
    0.69
    ourke
    0.67
    verson
    0.67
    Jr
    0.65
     Khe
    0.64
    Activations Density 0.202%

    No Known Activations