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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. 5847
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    INDEX
    Explanations

    words related to sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
    olitan
    -0.79
     Columb
    -0.60
     representative
    -0.59
     Coliseum
    -0.59
    earable
    -0.58
     tall
    -0.57
     conc
    -0.57
    ATT
    -0.57
     rolling
    -0.56
     mainland
    -0.56
    POSITIVE LOGITS
    nder
    1.22
    theless
    1.15
    gaard
    1.04
    lein
    1.03
    lings
    0.95
    miah
    0.95
    bilt
    0.91
    nels
    0.85
    rette
    0.82
    culosis
    0.81
    Activations Density 0.009%

    No Known Activations