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

    mentions of the name "Brendan."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Brendan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     volleyball
    -0.81
    SPONSORED
    -0.78
    LECT
    -0.74
    bound
    -0.73
    intend
    -0.72
    BOOK
    -0.69
    grades
    -0.67
    indu
    -0.67
    cycles
    -0.67
    enegger
    -0.66
    POSITIVE LOGITS
     Brendan
    0.89
    ufact
    0.88
    heses
    0.88
     Fraser
    0.85
     Das
    0.82
    hesis
    0.75
     Dempsey
    0.75
     Rouge
    0.73
     Gallagher
    0.72
    akers
    0.70
    Activations Density 0.005%

    No Known Activations