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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. 4-RES-JB
    11. 10740
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    Explanations

    proper nouns of people and companies

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

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

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.81
    cakes
    -0.76
    hered
    -0.72
    eral
    -0.70
    uses
    -0.70
    skirts
    -0.68
     vic
    -0.68
    cake
    -0.67
    opsy
    -0.67
    Hispanic
    -0.66
    POSITIVE LOGITS
     Schneider
    1.21
    lich
    0.93
    mann
    0.88
    strom
    0.77
    LIN
    0.74
    bilt
    0.74
    ler
    0.72
    sonian
    0.72
    mans
    0.72
    uler
    0.72
    Activations Density 0.007%

    No Known Activations