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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. 3-RES-JB
    11. 16886
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    INDEX
    Explanations

    names of people, particularly surnames

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.79
    skirts
    -0.75
    hered
    -0.74
    give
    -0.74
    eral
    -0.73
    cakes
    -0.72
    opsy
    -0.70
    uses
    -0.68
    usable
    -0.67
    ctic
    -0.67
    POSITIVE LOGITS
     Schneider
    1.23
    lich
    0.85
    mann
    0.82
    lings
    0.74
     Chaser
    0.73
    sonian
    0.72
    strom
    0.72
    mans
    0.69
    manship
    0.69
     Tanz
    0.69
    Activations Density 0.003%

    No Known Activations