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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. 4-RES-JB
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    INDEX
    Explanations

    mentions of royalty, specifically emperors

    oai_token-act-pair · gpt-3.5-turbo

    references to emperors in historical contexts

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

    No Comments

    Negative Logits
    ties
    -0.87
    ter
    -0.81
    crew
    -0.77
    chel
    -0.75
    esville
    -0.74
    nel
    -0.72
    mingham
    -0.71
    hire
    -0.70
    ledge
    -0.70
    asket
    -0.68
    POSITIVE LOGITS
    peror
    1.12
     Nero
    1.06
    perors
    0.98
     Emperor
    0.85
     pengu
    0.83
     emperor
    0.82
     Jinping
    0.82
     decree
    0.80
     Napoleon
    0.80
     Augustus
    0.79
    Activations Density 0.012%

    No Known Activations