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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. 2-RES-JB
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    Explanations

    highly relevant mentions of comedians

    oai_token-act-pair · gpt-3.5-turbo

    mentions of comedians

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irts
    -0.71
    doors
    -0.69
    ignty
    -0.69
    ntil
    -0.68
    ipped
    -0.68
    ils
    -0.67
    oral
    -0.67
    aah
    -0.65
    visible
    -0.64
    ports
    -0.64
    POSITIVE LOGITS
     comedian
    1.01
     comedians
    0.94
     Comed
    0.89
    glers
    0.88
     improvis
    0.85
     trou
    0.80
    netflix
    0.79
     improv
    0.77
    rities
    0.76
     comedy
    0.75
    Activations Density 0.011%

    No Known Activations