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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. 3700
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    Explanations

    credit references in a text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of credit or attribution references in the text

    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
     commute
    -0.72
    ructose
    -0.71
     paved
    -0.70
    iqueness
    -0.69
     attracted
    -0.69
    odox
    -0.69
    orrow
    -0.68
    unci
    -0.68
    onna
    -0.67
    oler
    -0.67
    POSITIVE LOGITS
    HAEL
    0.77
     Shutterstock
    0.75
     Bett
    0.72
     Brett
    0.71
     COURT
    0.69
     ©
    0.69
     Various
    0.68
     KR
    0.68
    Phys
    0.68
    CBC
    0.67
    Activations Density 0.040%

    No Known Activations