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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. 5846
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    INDEX
    Explanations

    references to hoaxes and pranks in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to hoaxes and pranks

    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
    oyal
    -0.73
    avid
    -0.71
    definition
    -0.69
    arching
    -0.69
     obligated
    -0.66
    uv
    -0.66
    arity
    -0.66
    ibr
    -0.66
    affer
    -0.65
    foreseen
    -0.65
    POSITIVE LOGITS
     hoax
    1.27
     spoof
    0.91
    gee
    0.88
    ulence
    0.85
     prank
    0.84
    sters
    0.83
    mong
    0.79
    ãĥ¼ãĥ«
    0.78
    gey
    0.76
    etooth
    0.74
    Activations Density 0.012%

    No Known Activations