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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. 10881
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    INDEX
    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    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
    bound
    -0.73
    bre
    -0.67
    breaking
    -0.61
    position
    -0.60
    ivated
    -0.60
    hillary
    -0.57
    stri
    -0.57
    breakers
    -0.56
    imm
    -0.56
    con
    -0.56
    POSITIVE LOGITS
    's
    0.70
     herself
    0.69
     Sr
    0.67
     commented
    0.64
    stals
    0.64
    ites
    0.63
    iev
    0.62
    inen
    0.61
    enegger
    0.61
     KE
    0.61
    Activations Density 0.290%

    No Known Activations