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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. 1-RES-JB
    6. 17892
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those related to individuals and notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilater
    -0.90
    ulators
    -0.81
    urities
    -0.78
     indo
    -0.76
    ulates
    -0.73
    ular
    -0.67
    imony
    -0.67
    ulatory
    -0.66
    ifier
    -0.65
    ebus
    -0.65
    POSITIVE LOGITS
     Doyle
    1.32
    oyle
    1.19
    idge
    0.87
    hyde
    0.85
    hiba
    0.85
    ragon
    0.78
    weed
    0.77
    mount
    0.74
    brush
    0.74
    gaard
    0.73
    Activations Density 0.008%

    No Known Activations