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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. 18343
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    Explanations

    new technology, products, or concepts that have been developed or created

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "developed."

    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
    que
    -0.81
     Keeper
    -0.79
    lua
    -0.73
    knife
    -0.70
    wa
    -0.70
    pir
    -0.69
    wait
    -0.68
    mir
    -0.67
    nee
    -0.67
    ipe
    -0.66
    POSITIVE LOGITS
    developed
    1.07
     developed
    1.02
     develops
    0.92
     developing
    0.88
    urally
    0.82
     behavi
    0.79
     Seym
    0.79
    irtual
    0.78
    Ô
    0.76
    icter
    0.76
    Activations Density 0.011%

    No Known Activations