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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. 24468
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    INDEX
    Explanations

    mentions of things or activities that can be enjoyed

    oai_token-act-pair · gpt-3.5-turbo

    the word "enjoy" and its variations in different contexts

    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
    amm
    -0.72
    ural
    -0.71
    Wr
    -0.67
    ene
    -0.65
    voy
    -0.65
    metal
    -0.64
    iop
    -0.64
    cci
    -0.63
    orne
    -0.63
    container
    -0.62
    POSITIVE LOGITS
     enjoy
    1.07
     enjoying
    1.05
     Enjoy
    1.02
     enjoyed
    0.99
     enjoys
    0.98
     enjoyment
    0.97
    lihood
    0.96
    Enjoy
    0.87
    joy
    0.84
    nels
    0.83
    Activations Density 0.013%

    No Known Activations