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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9599
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo
    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
    kefeller
    -0.71
    enegger
    -0.70
    helle
    -0.68
     corners
    -0.67
    pton
    -0.66
    ppers
    -0.62
    foreseen
    -0.61
    hern
    -0.61
    mallow
    -0.61
    aukee
    -0.60
    POSITIVE LOGITS
    Pacific
    0.79
     CLS
    0.72
    azi
    0.69
    adesh
    0.69
    ¥µ
    0.68
    MIT
    0.67
     Blaze
    0.67
    awa
    0.64
    °
    0.63
    TPPStreamerBot
    0.63
    Activations Density 0.155%

    No Known Activations