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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. 6-RES-JB
    6. 23659
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    Explanations

    words related to animated content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to animated films and series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orr
    -0.85
    hoff
    -0.78
    rank
    -0.76
    umbing
    -0.73
    agher
    -0.72
    yer
    -0.72
    ledge
    -0.71
    inness
    -0.71
     Lawyers
    -0.71
    marked
    -0.71
    POSITIVE LOGITS
     GIF
    1.02
     gif
    0.88
    agus
    0.75
    ebted
    0.74
    ocument
    0.74
    cember
    0.71
    atable
    0.70
     characters
    0.70
     cartoons
    0.68
    netflix
    0.67
    Activations Density 0.016%

    No Known Activations