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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. 5-RES-JB
    6. 14945
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    INDEX
    Explanations

    mentions of or related to public transport users

    oai_token-act-pair · gpt-3.5-turbo

    references to transit riders and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aples
    -0.73
    argon
    -0.67
    orial
    -0.66
    ilts
    -0.65
    mberg
    -0.65
     Crimea
    -0.65
    ritz
    -0.64
     Bhar
    -0.64
    gur
    -0.63
     Indonesian
    -0.61
    POSITIVE LOGITS
    hip
    1.31
     riders
    0.99
     rider
    0.88
    bike
    0.88
    enty
    0.86
    pool
    0.82
    accompan
    0.77
    comed
    0.76
    mount
    0.75
    chairs
    0.74
    Activations Density 0.015%

    No Known Activations