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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. 17788
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    Explanations

    mentions of twins

    oai_token-act-pair · gpt-3.5-turbo

    references to twins

    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
     Liberties
    -0.67
    trak
    -0.66
    WI
    -0.64
    vious
    -0.64
    supp
    -0.63
    nce
    -0.63
    ld
    -0.61
     Popular
    -0.60
    isan
    -0.59
     Nou
    -0.59
    POSITIVE LOGITS
     twins
    1.38
    poons
    0.87
     orphans
    0.81
    omnia
    0.79
    omething
    0.79
    idious
    0.74
    hips
    0.73
    folk
    0.72
    roo
    0.72
    peak
    0.71
    Activations Density 0.005%

    No Known Activations