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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. 9287
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    Explanations

    words related to extreme behaviors or opinions, often described as intense, unconventional, or exaggerated

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to eccentric or unconventional behavior

    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
    elsen
    -0.78
    berman
    -0.75
    burgh
    -0.75
     Borders
    -0.73
    utenant
    -0.73
    士
    -0.71
    éĸ
    -0.70
    BILITY
    -0.70
    ©¶æ
    -0.69
    eper
    -0.69
    POSITIVE LOGITS
     antics
    1.22
    ishly
    0.94
     mish
    0.92
     shenanigans
    0.83
     wildly
    0.79
     whims
    0.79
     adventures
    0.78
     prank
    0.76
     amuse
    0.76
     err
    0.75
    Activations Density 0.086%

    No Known Activations