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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 683
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    Explanations

    humorous phrases or instances in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of humor or comedic elements in the text

    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
    ainer
    -0.94
    ignt
    -0.82
    eded
    -0.77
    enfranch
    -0.76
    ignty
    -0.76
    ports
    -0.74
    ership
    -0.74
    chwitz
    -0.74
    ilings
    -0.73
    apers
    -0.73
    POSITIVE LOGITS
    netflix
    0.84
    ness
    0.81
     funny
    0.78
     GIF
    0.78
     tale
    0.76
     bone
    0.75
     twist
    0.74
    glers
    0.74
     anecdotes
    0.72
     scenes
    0.71
    Activations Density 0.019%

    No Known Activations